SlideShare ist ein Scribd-Unternehmen logo
1 von 110
Downloaden Sie, um offline zu lesen
̂HΨ = EΨ
̂HΨ(r1, ⋯, rN) = EΨ(r1, ⋯, rN)
̂H
Ψ E
̂H = −
ℏ2
2me
∇2
1 −
ℏ2
2me
∇2
2 −
e2
4πϵ0 (
1
ra1
+
1
rb1
+
1
ra2
+
1
rb2 )
+
e2
4πϵ0
1
r12
+
e2
4πϵ0R
Ψ(x1, y1, z1, x2, y2, z2)
̂Hx = λx
N 1 N − 1 N − 1
3N 3 N
|⟨ΨfullCI |ΨHartree−Fock⟩|2
≈ 1
1
3N
N
|Ψ0⟩ {χa}i=1,⋯,r
Ψ0⟩ = χ1χ2⋯χa χb⋯χN⟩
E0 = ⟨Ψ0 | ̂ℋ|Ψ0⟩ =
∑
a
⟨a|h|a⟩ +
1
2 ∑
ab
⟨ab||ab⟩
⟨χa |χb⟩ = δab
[
h(1) +
N
∑
b=1
𝒥b(1) − 𝒦b(1)
]
χa(1) =
N
∑
b=1
εba χb(1)
f χa⟩ =
N
∑
b=1
εba xb⟩
f χa⟩ = εa χa⟩
{ϕμ}
ψi =
K
∑
μ=1
Cμiϕμ
Sμv =
∫
dr1ϕ*μ (1)ϕv(1)
Fμv =
∫
dr1ϕ*μ (1)f(1)ϕv(1)
∑
v
FμvCvi = εi ∑
v
SμvCvi FC = SCε
FC = SCε
Fμv = Hcore
μv +
∑
a
∑
λσ
CλaC*σa[2(μv|σλ) − (μλ|σv)]
$ sudo apt install psi4 python3-numpy libopenblas-dev
…
#! STO-3G H2 Hartree-Fock Energy Point
# see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen
molecule h2 {
H 0.0 0.0 0.0
H 0.0 0.0 1.4
unit bohr
}
set {
basis STO-3G
}
thisenergy = energy('hf')
#! STO-3G H2 Hartree-Fock Energy Point
# see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen
molecule h2 {
H 0.0 0.0 0.0
H 0.0 0.0 1.4
unit bohr
}
set {
basis STO-3G
}
thisenergy = energy('hf')
****
H 0
S 3 1.00
3.42525091 0.15432897
0.62391373 0.53532814
0.16885540 0.44463454
en, wfn = energy('hf', return_wfn=True)
nbf = wfn.nso()
mints = psi4.core.MintsHelper(wfn.basisset())
S = np.asarray(mints.ao_overlap())
for i in range(nbf):
for j in range(nbf):
print (i+1,j+1, S[i,j])
(μv|λσ)
|Ψ0⟩
{χa}i=1,⋯,r
|Ψ0⟩ = |χ1χ2⋯χa χb⋯χN⟩
{χa}i=1,⋯,r
|Ψ0⟩
|Ψ⟩ = c0 |Φ0⟩ +
occ
∑
i
vir
∑
a
ca
i |Φa
i ⟩ +
occ
∑
i<j
vir
∑
a<b
cab
ij |Φab
ij ⟩ +
occ
∑
i<j<k
vir
∑
a<b<c
cabc
ijk |Φabc
ijk ⟩ + ⋯
|Φ0⟩
|Φ0⟩ = |χ1χ2⋯χa χb⋯χN⟩
|Φa
i ⟩
|Φa
i ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χN⟩
|Φab
ij ⟩
|Φab
ij ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χj−1χb χj+1⋯χN⟩
ca
i , cab
ij
|Ψ⟩ = c0 |Φ0⟩ +
occ
∑
i
vir
∑
a
ca
i |Φa
i ⟩ +
occ
∑
i<j
vir
∑
a<b
cab
ij |Φab
ij ⟩ +
occ
∑
i<j<k
vir
∑
a<b<c
cabc
ijk |Φabc
ijk ⟩ + ⋯
min
⟨Ψ|Ψ⟩=1
⟨Ψ| ̂H|Ψ⟩
rCN
#! STO-3G H2 FullCI Energy Point
# see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen
molecule h2 {
H 0.0 0.0 0.0
H 0.0 0.0 1.4
unit bohr
}
set {
basis STO-3G
}
thisenergy = energy(‘fci')
|⟨ΨFullCI |ΦHF⟩|2
= − 0.9872
|Ψ⟩ = c0 |Φ0⟩ +
occ
∑
i
vir
∑
a
ca
i |Φa
i ⟩ +
occ
∑
i<j
vir
∑
a<b
cab
ij |Φab
ij ⟩ +
occ
∑
i<j<k
vir
∑
a<b<c
cabc
ijk |Φabc
ijk ⟩ + ⋯
|ΨfullCI⟩ = − 0.993627|ΦHF⟩ + 0.112716|Φ2¯2
1¯1
⟩
|⟨ΨFullCI |ΦHF⟩|2
= 0.9872
|⟨ΨFullCI |ΦHF⟩|2
r(H − H)
r(H − H)
|⟨ΨFullCI |ΦHF⟩|2
(7C5)2
= 21 * 21 = 441
: CCSD(T), MP2 14_n2_631g_cc_mp_pes.dat
N-N FullCI Hartree-Fock CCSD(T) MP2
fullCI (1.5A ?)
|⟨ΨfullCI |ΨHF⟩|2
|11⟩, |01⟩, |10⟩, |00⟩
|111⟩, |101⟩, |110⟩, |100⟩
|011⟩, |001⟩, |010⟩, |000⟩
|1⟩, |0⟩
|00000000⟩ + |00000001⟩ + . . . + |11111111⟩
ei ̂Ht
|ΦHF⟩ = c0eiE0t
|Ψ0⟩ + c1eiE1t
|Ψ1⟩ + c2eiE2t
|Ψ2⟩⋯
ei ̂Hτ
≈
∏
i
eHΔτi ≈
∏
i
e
∑j
HjΔτi
̂H|Ψ⟩ = E|Ψ⟩ → ei ̂Hτ
|Ψ⟩ = ̂U|Ψ⟩ = ei2πϕ
|Ψ⟩
ei2πϕ
|Ψ⟩ ⊗ |R⟩ → ei2πϕ
|Ψ⟩ ⊗ ei2πϕ
|R⟩ → measure|R⟩ → E = 2πϕ/τ
|⟨ΦFullCI |ΦHF⟩|2
≈ 1
E0 ≤ E1 ≤ E2 ≤ ⋯
$ dotnet new -i “Microsoft.Quantum.ProjectTemplates::0.7-*”
…
$ mkdir -p qsharp
$ cd qsharp
$ sudo apt install git
$ git clone https://github.com/Microsoft/Quantum.git
$ git clone https://github.com/microsoft/QuantumLibraries
|ψ⟩
CNOT(H ⊗ 1)|00⟩ ⟶
|00⟩ + |11⟩
2
|ψ⟩ = α|0⟩ + β|1⟩ |ψ⟩ ⊗
|00⟩ + |11⟩
2
(H ⊗ 1 ⊗ 1)[CNOT ⊗ 1]|ψ⟩ ⊗
|00⟩ + |11⟩
2
=
1
2
[α|000⟩ + α|100⟩ + α|011⟩ + α|111⟩ + β|010⟩ − β|110⟩ + β|001⟩ − β|101⟩]
1
2
[|00⟩(α|0⟩ + β|1⟩) + |01⟩(α|1⟩ + β|0⟩) + |10⟩(α|0⟩ − β|1⟩) + |11⟩(α|1⟩ − β|0⟩)]
$ cd Quantum/Samples/src/Teleportation
$ dotnet run
Round 0: Sent True, got True.
Teleportation successful!!
Round 1: Sent False, got False.
Teleportation successful!!
Round 2: Sent False, got False.
Teleportation successful!!
Round 3: Sent True, got True.
Teleportation successful!!
Round 4: Sent False, got False.
Teleportation successful!!
Round 5: Sent True, got True.
Teleportation successful!!
Round 6: Sent True, got True.
Teleportation successful!!
Round 7: Sent False, got False.
Teleportation successful!!
operation Teleport (msg : Qubit, target : Qubit) : Unit {
using (register = Qubit()) {
// Create some entanglement that we can use to send our message.
H(register);
CNOT(register, target);
// Encode the message into the entangled pair,
// and measure the qubits to extract the classical data
// we need to correctly decode the message into the target qubit:
CNOT(msg, register);
H(msg);
let data1 = M(msg);
let data2 = M(register);
// decode the message by applying the corrections on
// the target qubit accordingly:
if (data1 == One) { Z(target); }
if (data2 == One) { X(target); }
// Reset our "register" qubit before releasing it.
Reset(register);
}
}
// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.
using Microsoft.Quantum.Simulation.Simulators;
using System.Linq;
namespace Microsoft.Quantum.Samples.Teleportation {
class Program
{
static void Main(string[] args)
{
using (var sim = new QuantumSimulator())
{
var rand = new System.Random();
foreach (var idxRun in Enumerable.Range(0, 8))
{
var sent = rand.Next(2) == 0;
var received = TeleportClassicalMessage.Run(sim, sent).Result;
System.Console.WriteLine($"Round {idxRun}:tSent {sent},tgot
{received}.");
System.Console.WriteLine(sent == received ? "Teleportation
successful!!n" : "n");
}
}
}
}
}
̂H =
∑
i,j
vija†
i
aj +
1
2 ∑
ijkl
wijkla†
i
a†
j
alak
|Ψ⟩
̂H|Ψ⟩ = E|Ψ⟩
|⟨ΦFullCI |ΦHF⟩|2
≈ 1
E0 ≤ E1 ≤ E2 ≤ ⋯
|Ψ⟩ = c0 |Φ0⟩ +
occ
∑
i
vir
∑
a
ca
i |Φa
i ⟩ +
occ
∑
i<j
vir
∑
a<b
cab
ij |Φab
ij ⟩ +
occ
∑
i<j<k
vir
∑
a<b<c
cabc
ijk |Φabc
ijk ⟩ + ⋯
|Φ0⟩ = |χ1χ2⋯χa χb⋯χN⟩
|Φa
i ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χN⟩
|Φab
ij ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χj−1χb χj+1⋯χN⟩
= |111111000000⟩
= |111110001000⟩
= |110110001010⟩
2r
r ≃ log(2r
)
1/ N!
̂P12Ψ(x1, x2) = ± Ψ(x1, x2)
̂H|Ψ⟩ = E|Ψ⟩ → ei ̂Hτ
|Ψ⟩ = ̂U|Ψ⟩ = ei2πϕ
|Ψ⟩
ei2πϕ
|Ψ⟩ ⊗ |R⟩ → ei2πϕ
|Ψ⟩ ⊗ ei2πϕ
|R⟩ → measure|R⟩ → E = 2πϕ/τ
̂H =
∑
i,j
vija†
i
aj +
1
2 ∑
ijkl
wijkla†
i
a†
j
alak
̂H =
∑
ijkl
Hijkla†
i
a†
j
alak
ei ̂Ht
|ΦHF⟩ = c0eiE0t
|Ψ0⟩ + c1eiE1t
|Ψ1⟩ + c2eiE2t
|Ψ2⟩⋯
exp(i ̂Ht)
Hijkla†
i
a†
j
alak
ei ̂Ht
≈
∏
Δt
eHΔt
≈
∏
Δt
e
∑ijkl
HijklΔt
≈
∏
Δt,ijkl
eHijklΔt
|000000111111 >
|⟨ΦFullCI |ΦHF⟩|2
≈ 1
E0 ≤ E1 ≤ E2 ≤ ⋯
ei ̂Ht
|ΦHF⟩ = c0eiE0t
|Ψ0⟩ + c1eiE1t
|Ψ1⟩ + c2eiE2t
|Ψ2⟩⋯
$ cd Quantum/Chemistry/MolecularHydrogen
$ dotnet run
----- Print Hamiltonian
PP has 4 entries).
[1 * 0u 0d, -1.252477495]
[1 * 1u 1d, -1.252477495]
[1 * 2u 2d, -0.475934275]
[1 * 3u 3d, -0.475934275]
PQQP has 6 entries).
[1 * 0u 1u 1d 0d, 0.674493166]
[1 * 0u 2u 2d 0d, 0.482184583]
[1 * 1u 3u 3d 1d, 0.482184583]
[1 * 1u 2u 2d 1d, 0.663472101]
[1 * 0u 3u 3d 0d, 0.663472101]
[1 * 2u 3u 3d 2d, 0.69739801]
PQRS has 2 entries).
[1 * 0u 3u 2d 1d, -0.362575036]
[1 * 0u 1u 3d 2d, 0.362575036]
Identity has 1 entries).
[1 * , 0.713776188]
----- End Print Hamiltonian
----- Creating Jordan–Wigner encoding
----- End Creating Jordan–Wigner encoding
----- Print Hamiltonian
Identity has 1 entries).
[Identity: [ ], -0.098834446]
Z has 4 entries).
[Z: [ 0 ], 0.171201285]
[Z: [ 1 ], 0.171201285]
[Z: [ 2 ], -0.222796536]
[Z: [ 3 ], -0.222796536]
ZZ has 6 entries).
[ZZ: [ 0 1 ], 0.1686232915]
[ZZ: [ 0 2 ], 0.12054614575]
[ZZ: [ 1 3 ], 0.12054614575]
[ZZ: [ 1 2 ], 0.16586802525]
[ZZ: [ 0 3 ], 0.16586802525]
[ZZ: [ 2 3 ], 0.1743495025]
v01234 has 1 entries).
[v01234: [ 0 1 2 3 ], 0, -0.0453218795, 0, 0.0453218795]
----- End Print Hamiltonian
$ psi4 07_h2_sto3g_hf_dumpint.dat
1 electron integral
1 1 -1.25247730398
2 2 -0.475934461144
2 electron integral
1 1 1 1 0.674493103326
1 2 1 2 0.181287535812
2 2 1 1 0.663472044861
2 2 2 2 0.69739794982
Exact molecular Hydrogen ground state energy: -1.137260278.
----- Performing quantum energy estimation by Trotter simulation algorithm
Rep #1/5: Energy estimate: -1.16005261648883; Phase estimate: -0.424487268195532
Rep #2/5: Energy estimate: -1.11126176600452; Phase estimate: -0.404970928001809
Rep #3/5: Energy estimate: -1.14194138176224; Phase estimate: -0.417242774304894
Rep #4/5: Energy estimate: -1.12383014703564; Phase estimate: -0.409998280414257
Rep #5/5: Energy estimate: -1.11126176600452; Phase estimate: -0.404970928001809
----- End Performing quantum energy estimation by Trotter simulation algorithm
----- Performing quantum energy estimation by Qubitization simulation algorithm
Rep #1/1: Energy estimate: -1.1347488350418; Phase estimate: -0.581804128657449
----- End Performing quantum energy estimation by Qubitization simulation algorithm
namespace Microsoft.Quantum.Chemistry.Samples.Hydrogen
{
class Program
{
static void Main(string[] args)
{
//////////////////////////////////////////////////////////////////////////
// Introduction //////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////
// In this example, we will create a spin-orbital representation of the molecular
// Hydrogen Hamiltonian `H`, given ovelap coefficients for its one- and
// two - electron integrals.
// We when perform quantum phase estimation to obtain an estimate of
// the molecular Hydrogen ground state energy.
#region Building the Hydrogen Hamiltonian through orbital integrals
// One of the simplest representations of Hydrogen uses only two
// molecular orbitals indexed by `0` and `1`.
var nOrbitals = 2;
// This representation also has two occupied spin-orbitals.
var nElectrons = 2;
// The Coulomb repulsion energy between nuclei is
var energyOffset = 0.713776188;
// One-electron integrals are listed below
// <0|H|0> = -1.252477495
// <1|H|1> = -0.475934275
// Two-electron integrals are listed below
// <00|H|00> = 0.674493166
// <01|H|01> = 0.181287518
// <01|H|10> = 0.663472101
// <11|H|11> = 0.697398010
•
$ psi4 07_h2_sto3g_hf_dumpint
1 electron integral
1 1 -1.25247730398
2 2 -0.475934461144
2 electron integral
1 1 1 1 0.674493103326
1 2 1 2 0.181287535812
2 2 1 1 0.663472044861
2 2 2 2 0.69739794982
// We initialize a fermion Hamiltonian data structure and add terms to it
var fermionHamiltonian = new
OrbitalIntegralHamiltonian(orbitalIntegrals).ToFermionHamiltonian();
// These orbital integral terms are automatically expanded into
// spin-orbitals. We may print the Hamiltonian to see verify what it contains.
Console.WriteLine("----- Print Hamiltonian");
Console.Write(fermionHamiltonian);
Console.WriteLine("----- End Print Hamiltonian n");
// We also need to create an input quantum state to this Hamiltonian.
// Let us use the Hartree–Fock state.
var fermionWavefunction = fermionHamiltonian.CreateHartreeFockState(nElectrons);
#endregion
#region Jordan–Wigner representation
// The Jordan–Wigner encoding converts the fermion Hamiltonian,
// expressed in terms of Fermionic operators, to a qubit Hamiltonian,
// expressed in terms of Pauli matrices. This is an essential step
// for simulating our constructed Hamiltonians on a qubit quantum
// computer.
Console.WriteLine("----- Creating Jordan–Wigner encoding");
var jordanWignerEncoding =
fermionHamiltonian.ToPauliHamiltonian(Paulis.QubitEncoding.JordanWigner);
Console.WriteLine("----- End Creating Jordan–Wigner encoding n");
// Print the Jordan–Wigner encoded Hamiltonian to see verify what it contains.
Console.WriteLine("----- Print Hamiltonian");
Console.Write(jordanWignerEncoding);
Console.WriteLine("----- End Print Hamiltonian n");
#endregion
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)
quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)

Weitere ähnliche Inhalte

Was ist angesagt?

Pythonによる黒魔術入門
Pythonによる黒魔術入門Pythonによる黒魔術入門
Pythonによる黒魔術入門大樹 小倉
 
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)STAIR Lab, Chiba Institute of Technology
 
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...Matlantis
 
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdfcatupper
 
Matlantisに込められた 技術・思想_高本_Matlantis User Conference
Matlantisに込められた 技術・思想_高本_Matlantis User ConferenceMatlantisに込められた 技術・思想_高本_Matlantis User Conference
Matlantisに込められた 技術・思想_高本_Matlantis User ConferenceMatlantis
 
NumPyが物足りない人へのCython入門
NumPyが物足りない人へのCython入門NumPyが物足りない人へのCython入門
NumPyが物足りない人へのCython入門Shiqiao Du
 
開発者が語る NVIDIA cuQuantum SDK
開発者が語る NVIDIA cuQuantum SDK開発者が語る NVIDIA cuQuantum SDK
開発者が語る NVIDIA cuQuantum SDKNVIDIA Japan
 
ZDD入門-お姉さんを救う方法
ZDD入門-お姉さんを救う方法ZDD入門-お姉さんを救う方法
ZDD入門-お姉さんを救う方法nishio
 
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...Matlantis
 
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也Preferred Networks
 
自動定理証明の紹介
自動定理証明の紹介自動定理証明の紹介
自動定理証明の紹介Masahiro Sakai
 
密度汎関数法 Density Functional Theory (DFT)の基礎第6回
密度汎関数法 Density Functional Theory (DFT)の基礎第6回密度汎関数法 Density Functional Theory (DFT)の基礎第6回
密度汎関数法 Density Functional Theory (DFT)の基礎第6回SATOH daisuke, Ph.D.
 
データに内在する構造をみるための埋め込み手法
データに内在する構造をみるための埋め込み手法データに内在する構造をみるための埋め込み手法
データに内在する構造をみるための埋め込み手法Tatsuya Shirakawa
 
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回SATOH daisuke, Ph.D.
 
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」数学カフェ 確率・統計・機械学習回 「速習 確率・統計」
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」Ken'ichi Matsui
 
機械学習による統計的実験計画(ベイズ最適化を中心に)
機械学習による統計的実験計画(ベイズ最適化を中心に)機械学習による統計的実験計画(ベイズ最適化を中心に)
機械学習による統計的実験計画(ベイズ最適化を中心に)Kota Matsui
 
勉強か?趣味か?人生か?―プログラミングコンテストとは
勉強か?趣味か?人生か?―プログラミングコンテストとは勉強か?趣味か?人生か?―プログラミングコンテストとは
勉強か?趣味か?人生か?―プログラミングコンテストとはTakuya Akiba
 

Was ist angesagt? (20)

Pythonによる黒魔術入門
Pythonによる黒魔術入門Pythonによる黒魔術入門
Pythonによる黒魔術入門
 
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)
グラフ構造データに対する深層学習〜創薬・材料科学への応用とその問題点〜 (第26回ステアラボ人工知能セミナー)
 
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...
汎用なNeural Network Potential「Matlantis」を使った新素材探索_浅野_JACI先端化学・材料技術部会 高選択性反応分科会主...
 
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf
競プロは社会の役に立たない+ベンチャー企業の話 (NPCA夏合宿OB講演).pdf
 
Matlantisに込められた 技術・思想_高本_Matlantis User Conference
Matlantisに込められた 技術・思想_高本_Matlantis User ConferenceMatlantisに込められた 技術・思想_高本_Matlantis User Conference
Matlantisに込められた 技術・思想_高本_Matlantis User Conference
 
NumPyが物足りない人へのCython入門
NumPyが物足りない人へのCython入門NumPyが物足りない人へのCython入門
NumPyが物足りない人へのCython入門
 
開発者が語る NVIDIA cuQuantum SDK
開発者が語る NVIDIA cuQuantum SDK開発者が語る NVIDIA cuQuantum SDK
開発者が語る NVIDIA cuQuantum SDK
 
ZDD入門-お姉さんを救う方法
ZDD入門-お姉さんを救う方法ZDD入門-お姉さんを救う方法
ZDD入門-お姉さんを救う方法
 
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...
Matlantisで実現する不均一系理論触媒科学3.0: Ru/La0.5Ce0.5O1.75-xにおける強い金属・担体相互作用の解明と展望_PFCCウェ...
 
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也
東大大学院 戦略ソフトウェア特論2021「ロボットで世界を計算可能にする」海野裕也
 
ゲート方式量子コンピュータの概要
ゲート方式量子コンピュータの概要ゲート方式量子コンピュータの概要
ゲート方式量子コンピュータの概要
 
自動定理証明の紹介
自動定理証明の紹介自動定理証明の紹介
自動定理証明の紹介
 
密度汎関数法 Density Functional Theory (DFT)の基礎第6回
密度汎関数法 Density Functional Theory (DFT)の基礎第6回密度汎関数法 Density Functional Theory (DFT)の基礎第6回
密度汎関数法 Density Functional Theory (DFT)の基礎第6回
 
データに内在する構造をみるための埋め込み手法
データに内在する構造をみるための埋め込み手法データに内在する構造をみるための埋め込み手法
データに内在する構造をみるための埋め込み手法
 
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回
密度汎関数法, Density Fuctional Theory (DFT)の基礎第5回
 
Nazoki
NazokiNazoki
Nazoki
 
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」数学カフェ 確率・統計・機械学習回 「速習 確率・統計」
数学カフェ 確率・統計・機械学習回 「速習 確率・統計」
 
機械学習による統計的実験計画(ベイズ最適化を中心に)
機械学習による統計的実験計画(ベイズ最適化を中心に)機械学習による統計的実験計画(ベイズ最適化を中心に)
機械学習による統計的実験計画(ベイズ最適化を中心に)
 
双対性
双対性双対性
双対性
 
勉強か?趣味か?人生か?―プログラミングコンテストとは
勉強か?趣味か?人生か?―プログラミングコンテストとは勉強か?趣味か?人生か?―プログラミングコンテストとは
勉強か?趣味か?人生か?―プログラミングコンテストとは
 

Ähnlich wie quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)

Numerical Algorithm for a few Special Functions
Numerical Algorithm for a few Special FunctionsNumerical Algorithm for a few Special Functions
Numerical Algorithm for a few Special FunctionsAmos Tsai
 
Vector time series sas-writing sample
Vector time series sas-writing sampleVector time series sas-writing sample
Vector time series sas-writing sampleQingyang Liu
 
How To Crack RSA Netrek Binary Verification System
How To Crack RSA Netrek Binary Verification SystemHow To Crack RSA Netrek Binary Verification System
How To Crack RSA Netrek Binary Verification SystemJay Corrales
 
Compilation of COSMO for GPU using LLVM
Compilation of COSMO for GPU using LLVMCompilation of COSMO for GPU using LLVM
Compilation of COSMO for GPU using LLVMLinaro
 
Introduction to NumPy for Machine Learning Programmers
Introduction to NumPy for Machine Learning ProgrammersIntroduction to NumPy for Machine Learning Programmers
Introduction to NumPy for Machine Learning ProgrammersKimikazu Kato
 
Arna Friend Controls II Final
Arna Friend Controls II FinalArna Friend Controls II Final
Arna Friend Controls II FinalArna Friend
 
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
Fast Algorithm for Computing the Discrete Hartley Transform of Type-IIFast Algorithm for Computing the Discrete Hartley Transform of Type-II
Fast Algorithm for Computing the Discrete Hartley Transform of Type-IIijeei-iaes
 
How to add an optimization for C# to RyuJIT
How to add an optimization for C# to RyuJITHow to add an optimization for C# to RyuJIT
How to add an optimization for C# to RyuJITEgor Bogatov
 
A Course in Fuzzy Systems and Control Matlab Chapter two
A Course in Fuzzy Systems and Control Matlab Chapter twoA Course in Fuzzy Systems and Control Matlab Chapter two
A Course in Fuzzy Systems and Control Matlab Chapter twoChung Hua Universit
 
Direct split-radix algorithm for fast computation of type-II discrete Hartley...
Direct split-radix algorithm for fast computation of type-II discrete Hartley...Direct split-radix algorithm for fast computation of type-II discrete Hartley...
Direct split-radix algorithm for fast computation of type-II discrete Hartley...TELKOMNIKA JOURNAL
 
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...Shizuoka Inst. Science and Tech.
 
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljfl
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljflAmber_Tutorial_PHAST.pdf dtkikydFHLfljfljfl
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljflnordine19630
 
Declare Your Language: Transformation by Strategic Term Rewriting
Declare Your Language: Transformation by Strategic Term RewritingDeclare Your Language: Transformation by Strategic Term Rewriting
Declare Your Language: Transformation by Strategic Term RewritingEelco Visser
 
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...Takahiro Katagiri
 
Comparison GUM versus GUM+1
Comparison GUM  versus GUM+1Comparison GUM  versus GUM+1
Comparison GUM versus GUM+1Maurice Maeck
 
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdfreservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdfRTEFGDFGJU
 
DFT-hands-on-nguyen_notas_Presentación.pdf
DFT-hands-on-nguyen_notas_Presentación.pdfDFT-hands-on-nguyen_notas_Presentación.pdf
DFT-hands-on-nguyen_notas_Presentación.pdfMiguelHernandezVazqu2
 

Ähnlich wie quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo) (20)

Numerical Algorithm for a few Special Functions
Numerical Algorithm for a few Special FunctionsNumerical Algorithm for a few Special Functions
Numerical Algorithm for a few Special Functions
 
Vector time series sas-writing sample
Vector time series sas-writing sampleVector time series sas-writing sample
Vector time series sas-writing sample
 
How To Crack RSA Netrek Binary Verification System
How To Crack RSA Netrek Binary Verification SystemHow To Crack RSA Netrek Binary Verification System
How To Crack RSA Netrek Binary Verification System
 
Compilation of COSMO for GPU using LLVM
Compilation of COSMO for GPU using LLVMCompilation of COSMO for GPU using LLVM
Compilation of COSMO for GPU using LLVM
 
Introduction to NumPy for Machine Learning Programmers
Introduction to NumPy for Machine Learning ProgrammersIntroduction to NumPy for Machine Learning Programmers
Introduction to NumPy for Machine Learning Programmers
 
Arna Friend Controls II Final
Arna Friend Controls II FinalArna Friend Controls II Final
Arna Friend Controls II Final
 
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
Fast Algorithm for Computing the Discrete Hartley Transform of Type-IIFast Algorithm for Computing the Discrete Hartley Transform of Type-II
Fast Algorithm for Computing the Discrete Hartley Transform of Type-II
 
How to add an optimization for C# to RyuJIT
How to add an optimization for C# to RyuJITHow to add an optimization for C# to RyuJIT
How to add an optimization for C# to RyuJIT
 
A Course in Fuzzy Systems and Control Matlab Chapter two
A Course in Fuzzy Systems and Control Matlab Chapter twoA Course in Fuzzy Systems and Control Matlab Chapter two
A Course in Fuzzy Systems and Control Matlab Chapter two
 
Direct split-radix algorithm for fast computation of type-II discrete Hartley...
Direct split-radix algorithm for fast computation of type-II discrete Hartley...Direct split-radix algorithm for fast computation of type-II discrete Hartley...
Direct split-radix algorithm for fast computation of type-II discrete Hartley...
 
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...
Talk at SciCADE2013 about "Accelerated Multiple Precision ODE solver base on ...
 
13486500-FFT.ppt
13486500-FFT.ppt13486500-FFT.ppt
13486500-FFT.ppt
 
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljfl
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljflAmber_Tutorial_PHAST.pdf dtkikydFHLfljfljfl
Amber_Tutorial_PHAST.pdf dtkikydFHLfljfljfl
 
Declare Your Language: Transformation by Strategic Term Rewriting
Declare Your Language: Transformation by Strategic Term RewritingDeclare Your Language: Transformation by Strategic Term Rewriting
Declare Your Language: Transformation by Strategic Term Rewriting
 
Seminar PSU 10.10.2014 mme
Seminar PSU 10.10.2014 mmeSeminar PSU 10.10.2014 mme
Seminar PSU 10.10.2014 mme
 
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...
Towards Auto-tuning Facilities into Supercomputers in Operation - The FIBER a...
 
Comparison GUM versus GUM+1
Comparison GUM  versus GUM+1Comparison GUM  versus GUM+1
Comparison GUM versus GUM+1
 
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdfreservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
reservoir-modeling-using-matlab-the-matalb-reservoir-simulation-toolbox-mrst.pdf
 
PRACTICAL COMPUTING
PRACTICAL COMPUTINGPRACTICAL COMPUTING
PRACTICAL COMPUTING
 
DFT-hands-on-nguyen_notas_Presentación.pdf
DFT-hands-on-nguyen_notas_Presentación.pdfDFT-hands-on-nguyen_notas_Presentación.pdf
DFT-hands-on-nguyen_notas_Presentación.pdf
 

Mehr von Maho Nakata

LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編
LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編
LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編Maho Nakata
 
Q#による量子化学計算 : 水素分子の位相推定について
Q#による量子化学計算 : 水素分子の位相推定についてQ#による量子化学計算 : 水素分子の位相推定について
Q#による量子化学計算 : 水素分子の位相推定についてMaho Nakata
 
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装Maho Nakata
 
第11回分子科学 2017/9/17 Pubchemqcプロジェクト
第11回分子科学 2017/9/17 Pubchemqcプロジェクト第11回分子科学 2017/9/17 Pubchemqcプロジェクト
第11回分子科学 2017/9/17 PubchemqcプロジェクトMaho Nakata
 
Kobeworkshop pubchemqc project
Kobeworkshop pubchemqc projectKobeworkshop pubchemqc project
Kobeworkshop pubchemqc projectMaho Nakata
 
計算化学実習講座:第二回
 計算化学実習講座:第二回 計算化学実習講座:第二回
計算化学実習講座:第二回Maho Nakata
 
計算化学実習講座:第一回
計算化学実習講座:第一回計算化学実習講座:第一回
計算化学実習講座:第一回Maho Nakata
 
HOKUSAIのベンチマーク 理研シンポジウム 中田分
HOKUSAIのベンチマーク 理研シンポジウム 中田分HOKUSAIのベンチマーク 理研シンポジウム 中田分
HOKUSAIのベンチマーク 理研シンポジウム 中田分Maho Nakata
 
為替取引(FX)でのtickdataの加工とMySQLで管理
為替取引(FX)でのtickdataの加工とMySQLで管理為替取引(FX)でのtickdataの加工とMySQLで管理
為替取引(FX)でのtickdataの加工とMySQLで管理Maho Nakata
 
為替のTickdataをDukascopyからダウンロードする
為替のTickdataをDukascopyからダウンロードする為替のTickdataをDukascopyからダウンロードする
為替のTickdataをDukascopyからダウンロードするMaho Nakata
 
HPCS2015 pythonを用いた量子化学プログラムの開発と応用
HPCS2015 pythonを用いた量子化学プログラムの開発と応用HPCS2015 pythonを用いた量子化学プログラムの開発と応用
HPCS2015 pythonを用いた量子化学プログラムの開発と応用Maho Nakata
 
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)Maho Nakata
 
The PubChemQC Project
The PubChemQC ProjectThe PubChemQC Project
The PubChemQC ProjectMaho Nakata
 
3Dプリンタ導入記 タンパク質の模型をプリントする
3Dプリンタ導入記 タンパク質の模型をプリントする3Dプリンタ導入記 タンパク質の模型をプリントする
3Dプリンタ導入記 タンパク質の模型をプリントするMaho Nakata
 
QuantumChemistry500
QuantumChemistry500QuantumChemistry500
QuantumChemistry500Maho Nakata
 
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1 立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1 Maho Nakata
 
The PubchemQC project
The PubchemQC projectThe PubchemQC project
The PubchemQC projectMaho Nakata
 
Direct variational calculation of second-order reduced density matrix : appli...
Direct variational calculation of second-order reduced density matrix : appli...Direct variational calculation of second-order reduced density matrix : appli...
Direct variational calculation of second-order reduced density matrix : appli...Maho Nakata
 
高精度線形代数演算ライブラリMPACK 0.8.0の紹介
高精度線形代数演算ライブラリMPACK 0.8.0の紹介高精度線形代数演算ライブラリMPACK 0.8.0の紹介
高精度線形代数演算ライブラリMPACK 0.8.0の紹介Maho Nakata
 
The MPACK : Multiple precision version of BLAS and LAPACK
The MPACK : Multiple precision version of BLAS and LAPACKThe MPACK : Multiple precision version of BLAS and LAPACK
The MPACK : Multiple precision version of BLAS and LAPACKMaho Nakata
 

Mehr von Maho Nakata (20)

LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編
LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編
LiHのポテンシャルエネルギー曲面 を量子コンピュータで行う Q#+位相推定編
 
Q#による量子化学計算 : 水素分子の位相推定について
Q#による量子化学計算 : 水素分子の位相推定についてQ#による量子化学計算 : 水素分子の位相推定について
Q#による量子化学計算 : 水素分子の位相推定について
 
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装
20180723 量子コンピュータの量子化学への応用; Bravyi-Kitaev基底の実装
 
第11回分子科学 2017/9/17 Pubchemqcプロジェクト
第11回分子科学 2017/9/17 Pubchemqcプロジェクト第11回分子科学 2017/9/17 Pubchemqcプロジェクト
第11回分子科学 2017/9/17 Pubchemqcプロジェクト
 
Kobeworkshop pubchemqc project
Kobeworkshop pubchemqc projectKobeworkshop pubchemqc project
Kobeworkshop pubchemqc project
 
計算化学実習講座:第二回
 計算化学実習講座:第二回 計算化学実習講座:第二回
計算化学実習講座:第二回
 
計算化学実習講座:第一回
計算化学実習講座:第一回計算化学実習講座:第一回
計算化学実習講座:第一回
 
HOKUSAIのベンチマーク 理研シンポジウム 中田分
HOKUSAIのベンチマーク 理研シンポジウム 中田分HOKUSAIのベンチマーク 理研シンポジウム 中田分
HOKUSAIのベンチマーク 理研シンポジウム 中田分
 
為替取引(FX)でのtickdataの加工とMySQLで管理
為替取引(FX)でのtickdataの加工とMySQLで管理為替取引(FX)でのtickdataの加工とMySQLで管理
為替取引(FX)でのtickdataの加工とMySQLで管理
 
為替のTickdataをDukascopyからダウンロードする
為替のTickdataをDukascopyからダウンロードする為替のTickdataをDukascopyからダウンロードする
為替のTickdataをDukascopyからダウンロードする
 
HPCS2015 pythonを用いた量子化学プログラムの開発と応用
HPCS2015 pythonを用いた量子化学プログラムの開発と応用HPCS2015 pythonを用いた量子化学プログラムの開発と応用
HPCS2015 pythonを用いた量子化学プログラムの開発と応用
 
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)
HPCS2015 大規模量子化学計算プログラムSMASHの開発と公開(石村)
 
The PubChemQC Project
The PubChemQC ProjectThe PubChemQC Project
The PubChemQC Project
 
3Dプリンタ導入記 タンパク質の模型をプリントする
3Dプリンタ導入記 タンパク質の模型をプリントする3Dプリンタ導入記 タンパク質の模型をプリントする
3Dプリンタ導入記 タンパク質の模型をプリントする
 
QuantumChemistry500
QuantumChemistry500QuantumChemistry500
QuantumChemistry500
 
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1 立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1
立教大学化学実験3 SMILESを中心とした高度な分子モデリング 2014/7/1
 
The PubchemQC project
The PubchemQC projectThe PubchemQC project
The PubchemQC project
 
Direct variational calculation of second-order reduced density matrix : appli...
Direct variational calculation of second-order reduced density matrix : appli...Direct variational calculation of second-order reduced density matrix : appli...
Direct variational calculation of second-order reduced density matrix : appli...
 
高精度線形代数演算ライブラリMPACK 0.8.0の紹介
高精度線形代数演算ライブラリMPACK 0.8.0の紹介高精度線形代数演算ライブラリMPACK 0.8.0の紹介
高精度線形代数演算ライブラリMPACK 0.8.0の紹介
 
The MPACK : Multiple precision version of BLAS and LAPACK
The MPACK : Multiple precision version of BLAS and LAPACKThe MPACK : Multiple precision version of BLAS and LAPACK
The MPACK : Multiple precision version of BLAS and LAPACK
 

Kürzlich hochgeladen

Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLKochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLkantirani197
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bSérgio Sacani
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bSérgio Sacani
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...ssifa0344
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptxAlMamun560346
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRDelhi Call girls
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​kaibalyasahoo82800
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsSérgio Sacani
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxFarihaAbdulRasheed
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfSumit Kumar yadav
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...ssuser79fe74
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICEayushi9330
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)Areesha Ahmad
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 

Kürzlich hochgeladen (20)

Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRLKochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
Kochi ❤CALL GIRL 84099*07087 ❤CALL GIRLS IN Kochi ESCORT SERVICE❤CALL GIRL
 
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 bAsymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
Asymmetry in the atmosphere of the ultra-hot Jupiter WASP-76 b
 
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43bNightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
Nightside clouds and disequilibrium chemistry on the hot Jupiter WASP-43b
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
 
Seismic Method Estimate velocity from seismic data.pptx
Seismic Method Estimate velocity from seismic  data.pptxSeismic Method Estimate velocity from seismic  data.pptx
Seismic Method Estimate velocity from seismic data.pptx
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCRStunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
Stunning ➥8448380779▻ Call Girls In Panchshil Enclave Delhi NCR
 
Nanoparticles synthesis and characterization​ ​
Nanoparticles synthesis and characterization​  ​Nanoparticles synthesis and characterization​  ​
Nanoparticles synthesis and characterization​ ​
 
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune WaterworldsBiogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
Biogenic Sulfur Gases as Biosignatures on Temperate Sub-Neptune Waterworlds
 
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptxCOST ESTIMATION FOR A RESEARCH PROJECT.pptx
COST ESTIMATION FOR A RESEARCH PROJECT.pptx
 
Botany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdfBotany 4th semester file By Sumit Kumar yadav.pdf
Botany 4th semester file By Sumit Kumar yadav.pdf
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
Chemical Tests; flame test, positive and negative ions test Edexcel Internati...
 
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICESAMASTIPUR CALL GIRL 7857803690  LOW PRICE  ESCORT SERVICE
SAMASTIPUR CALL GIRL 7857803690 LOW PRICE ESCORT SERVICE
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)GBSN - Biochemistry (Unit 1)
GBSN - Biochemistry (Unit 1)
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 

quantum chemistry on quantum computer handson by Q# (2019/8/4@MDR Hongo, Tokyo)

  • 1.
  • 2.
  • 3.
  • 5. ̂HΨ(r1, ⋯, rN) = EΨ(r1, ⋯, rN) ̂H Ψ E ̂H = − ℏ2 2me ∇2 1 − ℏ2 2me ∇2 2 − e2 4πϵ0 ( 1 ra1 + 1 rb1 + 1 ra2 + 1 rb2 ) + e2 4πϵ0 1 r12 + e2 4πϵ0R Ψ(x1, y1, z1, x2, y2, z2)
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. N 1 N − 1 N − 1 3N 3 N |⟨ΨfullCI |ΨHartree−Fock⟩|2 ≈ 1 1 3N N
  • 14. |Ψ0⟩ {χa}i=1,⋯,r Ψ0⟩ = χ1χ2⋯χa χb⋯χN⟩ E0 = ⟨Ψ0 | ̂ℋ|Ψ0⟩ = ∑ a ⟨a|h|a⟩ + 1 2 ∑ ab ⟨ab||ab⟩ ⟨χa |χb⟩ = δab
  • 15. [ h(1) + N ∑ b=1 𝒥b(1) − 𝒦b(1) ] χa(1) = N ∑ b=1 εba χb(1) f χa⟩ = N ∑ b=1 εba xb⟩ f χa⟩ = εa χa⟩
  • 16. {ϕμ} ψi = K ∑ μ=1 Cμiϕμ Sμv = ∫ dr1ϕ*μ (1)ϕv(1) Fμv = ∫ dr1ϕ*μ (1)f(1)ϕv(1) ∑ v FμvCvi = εi ∑ v SμvCvi FC = SCε
  • 17. FC = SCε Fμv = Hcore μv + ∑ a ∑ λσ CλaC*σa[2(μv|σλ) − (μλ|σv)]
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. $ sudo apt install psi4 python3-numpy libopenblas-dev …
  • 23.
  • 24. #! STO-3G H2 Hartree-Fock Energy Point # see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen molecule h2 { H 0.0 0.0 0.0 H 0.0 0.0 1.4 unit bohr } set { basis STO-3G } thisenergy = energy('hf')
  • 25.
  • 26.
  • 27. #! STO-3G H2 Hartree-Fock Energy Point # see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen molecule h2 { H 0.0 0.0 0.0 H 0.0 0.0 1.4 unit bohr } set { basis STO-3G } thisenergy = energy('hf')
  • 28. **** H 0 S 3 1.00 3.42525091 0.15432897 0.62391373 0.53532814 0.16885540 0.44463454
  • 29.
  • 30.
  • 31. en, wfn = energy('hf', return_wfn=True) nbf = wfn.nso() mints = psi4.core.MintsHelper(wfn.basisset()) S = np.asarray(mints.ao_overlap()) for i in range(nbf): for j in range(nbf): print (i+1,j+1, S[i,j])
  • 33.
  • 34.
  • 35.
  • 36.
  • 37.
  • 38. |Ψ0⟩ {χa}i=1,⋯,r |Ψ0⟩ = |χ1χ2⋯χa χb⋯χN⟩ {χa}i=1,⋯,r
  • 39. |Ψ0⟩ |Ψ⟩ = c0 |Φ0⟩ + occ ∑ i vir ∑ a ca i |Φa i ⟩ + occ ∑ i<j vir ∑ a<b cab ij |Φab ij ⟩ + occ ∑ i<j<k vir ∑ a<b<c cabc ijk |Φabc ijk ⟩ + ⋯ |Φ0⟩ |Φ0⟩ = |χ1χ2⋯χa χb⋯χN⟩ |Φa i ⟩ |Φa i ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χN⟩ |Φab ij ⟩ |Φab ij ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χj−1χb χj+1⋯χN⟩ ca i , cab ij
  • 40. |Ψ⟩ = c0 |Φ0⟩ + occ ∑ i vir ∑ a ca i |Φa i ⟩ + occ ∑ i<j vir ∑ a<b cab ij |Φab ij ⟩ + occ ∑ i<j<k vir ∑ a<b<c cabc ijk |Φabc ijk ⟩ + ⋯ min ⟨Ψ|Ψ⟩=1 ⟨Ψ| ̂H|Ψ⟩
  • 41. rCN
  • 42.
  • 43. #! STO-3G H2 FullCI Energy Point # see also: http://pubchemqc.riken.jp/cgi-bin/molecularquery.py?name=hydrogen molecule h2 { H 0.0 0.0 0.0 H 0.0 0.0 1.4 unit bohr } set { basis STO-3G } thisenergy = energy(‘fci')
  • 45.
  • 46. |Ψ⟩ = c0 |Φ0⟩ + occ ∑ i vir ∑ a ca i |Φa i ⟩ + occ ∑ i<j vir ∑ a<b cab ij |Φab ij ⟩ + occ ∑ i<j<k vir ∑ a<b<c cabc ijk |Φabc ijk ⟩ + ⋯ |ΨfullCI⟩ = − 0.993627|ΦHF⟩ + 0.112716|Φ2¯2 1¯1 ⟩ |⟨ΨFullCI |ΦHF⟩|2 = 0.9872
  • 47.
  • 48.
  • 50.
  • 51.
  • 53. (7C5)2 = 21 * 21 = 441
  • 54.
  • 55.
  • 56.
  • 57.
  • 58.
  • 59. : CCSD(T), MP2 14_n2_631g_cc_mp_pes.dat N-N FullCI Hartree-Fock CCSD(T) MP2 fullCI (1.5A ?)
  • 60.
  • 62.
  • 63.
  • 64. |11⟩, |01⟩, |10⟩, |00⟩ |111⟩, |101⟩, |110⟩, |100⟩ |011⟩, |001⟩, |010⟩, |000⟩ |1⟩, |0⟩ |00000000⟩ + |00000001⟩ + . . . + |11111111⟩
  • 65.
  • 66.
  • 67.
  • 68. ei ̂Ht |ΦHF⟩ = c0eiE0t |Ψ0⟩ + c1eiE1t |Ψ1⟩ + c2eiE2t |Ψ2⟩⋯ ei ̂Hτ ≈ ∏ i eHΔτi ≈ ∏ i e ∑j HjΔτi ̂H|Ψ⟩ = E|Ψ⟩ → ei ̂Hτ |Ψ⟩ = ̂U|Ψ⟩ = ei2πϕ |Ψ⟩ ei2πϕ |Ψ⟩ ⊗ |R⟩ → ei2πϕ |Ψ⟩ ⊗ ei2πϕ |R⟩ → measure|R⟩ → E = 2πϕ/τ
  • 69. |⟨ΦFullCI |ΦHF⟩|2 ≈ 1 E0 ≤ E1 ≤ E2 ≤ ⋯
  • 70.
  • 71.
  • 72.
  • 73.
  • 74.
  • 75. $ dotnet new -i “Microsoft.Quantum.ProjectTemplates::0.7-*” …
  • 76. $ mkdir -p qsharp $ cd qsharp $ sudo apt install git $ git clone https://github.com/Microsoft/Quantum.git $ git clone https://github.com/microsoft/QuantumLibraries
  • 77.
  • 78.
  • 79. |ψ⟩ CNOT(H ⊗ 1)|00⟩ ⟶ |00⟩ + |11⟩ 2
  • 80. |ψ⟩ = α|0⟩ + β|1⟩ |ψ⟩ ⊗ |00⟩ + |11⟩ 2 (H ⊗ 1 ⊗ 1)[CNOT ⊗ 1]|ψ⟩ ⊗ |00⟩ + |11⟩ 2 = 1 2 [α|000⟩ + α|100⟩ + α|011⟩ + α|111⟩ + β|010⟩ − β|110⟩ + β|001⟩ − β|101⟩] 1 2 [|00⟩(α|0⟩ + β|1⟩) + |01⟩(α|1⟩ + β|0⟩) + |10⟩(α|0⟩ − β|1⟩) + |11⟩(α|1⟩ − β|0⟩)]
  • 81.
  • 82. $ cd Quantum/Samples/src/Teleportation $ dotnet run Round 0: Sent True, got True. Teleportation successful!! Round 1: Sent False, got False. Teleportation successful!! Round 2: Sent False, got False. Teleportation successful!! Round 3: Sent True, got True. Teleportation successful!! Round 4: Sent False, got False. Teleportation successful!! Round 5: Sent True, got True. Teleportation successful!! Round 6: Sent True, got True. Teleportation successful!! Round 7: Sent False, got False. Teleportation successful!!
  • 83. operation Teleport (msg : Qubit, target : Qubit) : Unit { using (register = Qubit()) { // Create some entanglement that we can use to send our message. H(register); CNOT(register, target); // Encode the message into the entangled pair, // and measure the qubits to extract the classical data // we need to correctly decode the message into the target qubit: CNOT(msg, register); H(msg); let data1 = M(msg); let data2 = M(register); // decode the message by applying the corrections on // the target qubit accordingly: if (data1 == One) { Z(target); } if (data2 == One) { X(target); } // Reset our "register" qubit before releasing it. Reset(register); } }
  • 84. // Copyright (c) Microsoft Corporation. All rights reserved. // Licensed under the MIT License. using Microsoft.Quantum.Simulation.Simulators; using System.Linq; namespace Microsoft.Quantum.Samples.Teleportation { class Program { static void Main(string[] args) { using (var sim = new QuantumSimulator()) { var rand = new System.Random(); foreach (var idxRun in Enumerable.Range(0, 8)) { var sent = rand.Next(2) == 0; var received = TeleportClassicalMessage.Run(sim, sent).Result; System.Console.WriteLine($"Round {idxRun}:tSent {sent},tgot {received}."); System.Console.WriteLine(sent == received ? "Teleportation successful!!n" : "n"); } } } } }
  • 85.
  • 86.
  • 87. ̂H = ∑ i,j vija† i aj + 1 2 ∑ ijkl wijkla† i a† j alak |Ψ⟩ ̂H|Ψ⟩ = E|Ψ⟩
  • 88. |⟨ΦFullCI |ΦHF⟩|2 ≈ 1 E0 ≤ E1 ≤ E2 ≤ ⋯
  • 89. |Ψ⟩ = c0 |Φ0⟩ + occ ∑ i vir ∑ a ca i |Φa i ⟩ + occ ∑ i<j vir ∑ a<b cab ij |Φab ij ⟩ + occ ∑ i<j<k vir ∑ a<b<c cabc ijk |Φabc ijk ⟩ + ⋯ |Φ0⟩ = |χ1χ2⋯χa χb⋯χN⟩ |Φa i ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χN⟩ |Φab ij ⟩ = |χ1χ2⋯χi−1χa χi+1⋯χj−1χb χj+1⋯χN⟩ = |111111000000⟩ = |111110001000⟩ = |110110001010⟩ 2r r ≃ log(2r )
  • 90. 1/ N! ̂P12Ψ(x1, x2) = ± Ψ(x1, x2)
  • 91. ̂H|Ψ⟩ = E|Ψ⟩ → ei ̂Hτ |Ψ⟩ = ̂U|Ψ⟩ = ei2πϕ |Ψ⟩ ei2πϕ |Ψ⟩ ⊗ |R⟩ → ei2πϕ |Ψ⟩ ⊗ ei2πϕ |R⟩ → measure|R⟩ → E = 2πϕ/τ
  • 92. ̂H = ∑ i,j vija† i aj + 1 2 ∑ ijkl wijkla† i a† j alak ̂H = ∑ ijkl Hijkla† i a† j alak ei ̂Ht |ΦHF⟩ = c0eiE0t |Ψ0⟩ + c1eiE1t |Ψ1⟩ + c2eiE2t |Ψ2⟩⋯ exp(i ̂Ht) Hijkla† i a† j alak ei ̂Ht ≈ ∏ Δt eHΔt ≈ ∏ Δt e ∑ijkl HijklΔt ≈ ∏ Δt,ijkl eHijklΔt
  • 94. |⟨ΦFullCI |ΦHF⟩|2 ≈ 1 E0 ≤ E1 ≤ E2 ≤ ⋯ ei ̂Ht |ΦHF⟩ = c0eiE0t |Ψ0⟩ + c1eiE1t |Ψ1⟩ + c2eiE2t |Ψ2⟩⋯
  • 95.
  • 96.
  • 97. $ cd Quantum/Chemistry/MolecularHydrogen $ dotnet run ----- Print Hamiltonian PP has 4 entries). [1 * 0u 0d, -1.252477495] [1 * 1u 1d, -1.252477495] [1 * 2u 2d, -0.475934275] [1 * 3u 3d, -0.475934275] PQQP has 6 entries). [1 * 0u 1u 1d 0d, 0.674493166] [1 * 0u 2u 2d 0d, 0.482184583] [1 * 1u 3u 3d 1d, 0.482184583] [1 * 1u 2u 2d 1d, 0.663472101] [1 * 0u 3u 3d 0d, 0.663472101] [1 * 2u 3u 3d 2d, 0.69739801] PQRS has 2 entries). [1 * 0u 3u 2d 1d, -0.362575036] [1 * 0u 1u 3d 2d, 0.362575036] Identity has 1 entries). [1 * , 0.713776188] ----- End Print Hamiltonian ----- Creating Jordan–Wigner encoding ----- End Creating Jordan–Wigner encoding ----- Print Hamiltonian Identity has 1 entries). [Identity: [ ], -0.098834446] Z has 4 entries). [Z: [ 0 ], 0.171201285] [Z: [ 1 ], 0.171201285] [Z: [ 2 ], -0.222796536] [Z: [ 3 ], -0.222796536] ZZ has 6 entries). [ZZ: [ 0 1 ], 0.1686232915] [ZZ: [ 0 2 ], 0.12054614575] [ZZ: [ 1 3 ], 0.12054614575] [ZZ: [ 1 2 ], 0.16586802525] [ZZ: [ 0 3 ], 0.16586802525] [ZZ: [ 2 3 ], 0.1743495025] v01234 has 1 entries). [v01234: [ 0 1 2 3 ], 0, -0.0453218795, 0, 0.0453218795] ----- End Print Hamiltonian $ psi4 07_h2_sto3g_hf_dumpint.dat 1 electron integral 1 1 -1.25247730398 2 2 -0.475934461144 2 electron integral 1 1 1 1 0.674493103326 1 2 1 2 0.181287535812 2 2 1 1 0.663472044861 2 2 2 2 0.69739794982
  • 98. Exact molecular Hydrogen ground state energy: -1.137260278. ----- Performing quantum energy estimation by Trotter simulation algorithm Rep #1/5: Energy estimate: -1.16005261648883; Phase estimate: -0.424487268195532 Rep #2/5: Energy estimate: -1.11126176600452; Phase estimate: -0.404970928001809 Rep #3/5: Energy estimate: -1.14194138176224; Phase estimate: -0.417242774304894 Rep #4/5: Energy estimate: -1.12383014703564; Phase estimate: -0.409998280414257 Rep #5/5: Energy estimate: -1.11126176600452; Phase estimate: -0.404970928001809 ----- End Performing quantum energy estimation by Trotter simulation algorithm ----- Performing quantum energy estimation by Qubitization simulation algorithm Rep #1/1: Energy estimate: -1.1347488350418; Phase estimate: -0.581804128657449 ----- End Performing quantum energy estimation by Qubitization simulation algorithm
  • 99. namespace Microsoft.Quantum.Chemistry.Samples.Hydrogen { class Program { static void Main(string[] args) { ////////////////////////////////////////////////////////////////////////// // Introduction ////////////////////////////////////////////////////////// ////////////////////////////////////////////////////////////////////////// // In this example, we will create a spin-orbital representation of the molecular // Hydrogen Hamiltonian `H`, given ovelap coefficients for its one- and // two - electron integrals. // We when perform quantum phase estimation to obtain an estimate of // the molecular Hydrogen ground state energy. #region Building the Hydrogen Hamiltonian through orbital integrals // One of the simplest representations of Hydrogen uses only two // molecular orbitals indexed by `0` and `1`. var nOrbitals = 2; // This representation also has two occupied spin-orbitals. var nElectrons = 2; // The Coulomb repulsion energy between nuclei is var energyOffset = 0.713776188; // One-electron integrals are listed below // <0|H|0> = -1.252477495 // <1|H|1> = -0.475934275 // Two-electron integrals are listed below // <00|H|00> = 0.674493166 // <01|H|01> = 0.181287518 // <01|H|10> = 0.663472101 // <11|H|11> = 0.697398010 • $ psi4 07_h2_sto3g_hf_dumpint 1 electron integral 1 1 -1.25247730398 2 2 -0.475934461144 2 electron integral 1 1 1 1 0.674493103326 1 2 1 2 0.181287535812 2 2 1 1 0.663472044861 2 2 2 2 0.69739794982
  • 100. // We initialize a fermion Hamiltonian data structure and add terms to it var fermionHamiltonian = new OrbitalIntegralHamiltonian(orbitalIntegrals).ToFermionHamiltonian(); // These orbital integral terms are automatically expanded into // spin-orbitals. We may print the Hamiltonian to see verify what it contains. Console.WriteLine("----- Print Hamiltonian"); Console.Write(fermionHamiltonian); Console.WriteLine("----- End Print Hamiltonian n"); // We also need to create an input quantum state to this Hamiltonian. // Let us use the Hartree–Fock state. var fermionWavefunction = fermionHamiltonian.CreateHartreeFockState(nElectrons); #endregion #region Jordan–Wigner representation // The Jordan–Wigner encoding converts the fermion Hamiltonian, // expressed in terms of Fermionic operators, to a qubit Hamiltonian, // expressed in terms of Pauli matrices. This is an essential step // for simulating our constructed Hamiltonians on a qubit quantum // computer. Console.WriteLine("----- Creating Jordan–Wigner encoding"); var jordanWignerEncoding = fermionHamiltonian.ToPauliHamiltonian(Paulis.QubitEncoding.JordanWigner); Console.WriteLine("----- End Creating Jordan–Wigner encoding n"); // Print the Jordan–Wigner encoded Hamiltonian to see verify what it contains. Console.WriteLine("----- Print Hamiltonian"); Console.Write(jordanWignerEncoding); Console.WriteLine("----- End Print Hamiltonian n"); #endregion