IP Library › Granted Patent US 12,572,720
Granted Patent B2
US 12,572,720 · App. 17/177,813 · Granted Mar 10, 2026

Methods and apparatuses for resource-optimized fermionic local simulation on quantum computer for quantum chemistry

Inventors: Qingfeng Wang (College Park, MD); Ming Li (College Park, MD); Yunseong Nam (College Park, MD)
Assignees: IONQ, INC.; UNIVERSITY OF MARYLAND, COLLEGE PARK
G06F30/27G06F9/5094G06F30/20G06N10/20G06N10/60
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,572,720
App. No.
17/177,813
Granted
Mar 10, 2026
Kind
B2
Abstract

Aspects of the present disclosure describe a method including predicting a first set of ansatz terms and a first plurality of amplitudes associated with the first set of ansatz terms; minimizing energy of the system based on the first set of ansatz terms and the first plurality of amplitudes; computing perturbative corrections using one or more ansatz wavefunctions; determining whether energy of the system converges; and predicting, in response to determining that the energy of the system does not converge, a second set of ansatz terms and a second plurality of amplitudes associated with the second set of ansatz terms.

Claims (48)

1 . A method of performing simulation of a chemical system, comprising:

predicting, by a classical processor, a first set of ansatz terms and first initial amplitudes associated with the first set of ansatz terms;

minimizing, by the classical processor, energy of the chemical system based on the first set of ansatz terms and the first initial amplitudes;

iteratively applying, by the classical processor, one or more perturbative corrections until the energy converges, comprising:

calculating at least one of perturbative correction in the energy or wavefunction based on one or more ansatz wavefunctions;

determining whether energy of the chemical system converges based on the calculated at least one perturbative correction;

predicting, when the energy of the chemical system does not converge based on the determining, a second set of ansatz terms and second initial amplitudes associated with the second set of ansatz terms; and

determining whether the energy of the chemical system converges based on one additional perturbative correction that is selected based on the second set of ansatz terms and a size of the second initial amplitudes;

generating, by the classical processor when the energy of the chemical system converges based on the one additional perturbative correction, a ground-state energy estimate of particles of the chemical system; and

compiling, by the classical processor, a circuit according to the simulation of the chemical system that is based on the ground-state energy estimate of the particles, wherein the compiling comprises mapping, to qubit indices, ansatz terms that cause the chemical system to converge by:

translating Fermionic operators comprised in the ansatz terms into qubit operations using one or more fermion-to-qubit transformations;

assigning the qubit operations that can be executed by a quantum processor to the qubit indices, wherein the qubit indices indicate a placement and application of gates within the circuit; and

executing, by the quantum processor, the circuit to determine at least one of a chemical reaction, bonding property and energetic state of the chemical system.

2 . The method of claim 1 , further comprising minimizing energy of the chemical system based on the second set of ansatz terms.

3 . The method of claim 1 , wherein predicting the first set of ansatz terms and the first initial amplitudes comprises predicting using a second order Møller-Plesset (MP2) perturbation theory.

4 . The method of claim 1 , wherein the first set of ansatz includes unitary coupled cluster ansatz with single or double excitations.

5 . The method of claim 1 , wherein minimizing the energy of the chemical system comprises calculating the energy using a variational quantum eigensolver (VQE) approach.

6 . The method of claim 5 , further comprising computing an energy correction operator via a hybrid second order Møllar-Plesset perturbation (HMP2) method.

7 . The method of claim 1 , further comprising executing the circuit via a quantum computer.

8 . The method of claim 1 , wherein predicting the second set of ansatz terms and the second initial amplitudes comprises increasing ansatz sizes of the second set of ansatz terms.

9 . The method of claim 1 , wherein predicting the second set of ansatz terms and the second initial amplitudes comprises:

determining one or more additional ansatz terms to add to the first set of ansatz terms for generating the second set of ansatz terms, and

adding the one or more additional ansatz terms to the first set of ansatz terms to generate the second set of ansatz terms; and

minimizing the energy of the chemical system based on the second set of ansatz terms and the second initial amplitudes.

10 . A non-transitory computer readable medium for performing simulation of a chemical system, the non-transitory computer readable medium having instructions stored therein that, when executed by a classical processor, cause the classical processor to:

predict a first set of ansatz terms and first initial amplitudes associated with the first set of ansatz terms;

minimize energy of a chemical system based on the first set of ansatz terms and the first initial amplitudes;

iteratively apply one or more perturbative corrections until the energy converges, comprising:

calculating at least one of perturbative correction in the energy or wavefunction based on one or more ansatz wavefunctions;

determining whether energy of the chemical system converges based on the calculated at least one perturbative correction;

predicting, when the energy of the chemical system does not converge based on the determining, a second set of ansatz terms and second initial amplitudes associated with the second set of ansatz terms; and

determining whether the energy of the chemical system converges based on one additional perturbative correction that is selected based on the second set of ansatz terms and a size of the second initial amplitudes;

generate, when the energy of the chemical system converges based on the one additional perturbative correction, a ground-state energy estimate of particles of the chemical system; and

compile a circuit according to the simulation of the chemical system that is based on the ground-state energy estimate of the particles, wherein the compiling comprises mapping, to qubit indices, ansatz terms that cause the chemical system to converge by:

translating Fermionic operators comprised in the ansatz terms into qubit operations using one or more fermion-to-qubit transformations;

assigning the qubit operations that can be executed by a quantum processor to the qubit indices, wherein the qubit indices indicate a placement and application of gates within the circuit, and wherein the circuit is executed by the quantum processor to determine at least one of a chemical reaction, bonding property and energetic state of the chemical system.

11 . The non-transitory computer readable medium of claim 10 , further comprising instructions for minimizing energy of the chemical system based on the second set of ansatz terms.

12 . The non-transitory computer readable medium of claim 10 , wherein the instructions for predicting the first set of ansatz terms and the first initial amplitudes comprises instructions for predicting using a second order Møller-Plesset (MP2) perturbation theory.

13 . The non-transitory computer readable medium of claim 10 , wherein the first set of ansatz includes unitary coupled cluster ansatz with single or double excitations.

14 . The non-transitory computer readable medium of claim 10 , wherein the instructions for minimizing the energy of the chemical system comprises instructions for calculating the energy using a variational quantum eigensolver (VQE) approach.

15 . The non-transitory computer readable medium of claim 14 , further comprising instructions for computing an energy correction operator via a hybrid second order Møllar-Plesset perturbation (HMP2) method.

16 . The non-transitory computer readable medium of claim 10 , further comprising instructions for

executing the circuit via a quantum computer.

17 . The non-transitory computer readable medium of claim 10 , wherein the instructions for predicting the second set of ansatz terms and the second initial amplitudes comprises instructions for increasing ansatz sizes of the second set of ansatz terms.

18 . The non-transitory computer readable medium of claim 10 , wherein the instructions for predicting the second set of ansatz terms and the second initial amplitudes comprises instructions for:

determining one or more additional ansatz terms to add to the first set of ansatz terms for generating the second set of ansatz terms, and

adding the one or more additional ansatz terms to the first set of ansatz terms to generate the second set of ansatz terms; and

minimizing the energy of the chemical system based on the second set of ansatz terms and the second initial amplitudes.

Assignments (4)
CHANGE OF ADDRESS Recorded Jan 27, 2026
From: UNIVERSITY OF MARYLAND, COLLEGE PARK
To: UNIVERSITY OF MARYLAND, COLLEGE PARK
Reel/Frame 074494/0791 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 18, 2025
From: WANG, QINGFENG
To: UNIVERSITY OF MARYLAND, COLLEGE PARK
Reel/Frame 072949/0997 →
CONFIRMATORY LICENSE Recorded Mar 24, 2022
From: UNIV OF MARYLAND, COLLEGE PARK
To: UNITED STATES DEPARTMENT OF ENERGY
Reel/Frame 059496/0361 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 25, 2021
From: LI, MING; NAM, YUNSEONG
To: IONQ, INC.
Reel/Frame 056340/0820 →
Continuity (3)
Provisional Application 63130088 · Dec 23, 2020
Provisional Application 62979974 · Feb 21, 2020
Related Publication 20210264309A1 · Aug 26, 2021
References Cited (18)
US 20180053112A1 · Bravyi · 2018 [cited by examiner]
US 20180096085A1 · Rubin · 2018 [cited by examiner]
US 20190095811A1 · Antonio · 2019 [cited by examiner]
US 20200293935A1 · Greenberg · 2020 [cited by examiner]
US 20200364601A1 · Yamazaki · 2020 [cited by examiner]
US 20200394549A1 · Dallaire-Demers · 2020 [cited by examiner]
US 20210042653A1 · Brierley · 2021 [cited by examiner]
US 20210255856A1 · Cao · 2021 [cited by examiner]
US 20210398621A1 · Stojevic · 2021 [cited by examiner]
US 20230020166A1 · Elfving · 2023 [cited by examiner]
Häser), “Møller-Plesset (MP2) perturbation theory for large molecules”, Theoret. Chim. Acta 87, 147-173 (1993). https://doi.org/10.1007/BF01113535 (Year: 1993). [cited by examiner]
Li et al., “Variational Quantum Simulation for Quantum Chemistry”. Adv. Theory Simul., 2: 1800182. 2019 https://doi.org/10.1002/adts.201800182 (Year: 2019). [cited by examiner]
Grimsley Harper R. et al: “An adaptive variational algorithm for exact molecular simulations on a quantum computer”, Nature Communications, vol. 10, No. 1, Dec. 2019 (Dec. 2019), XP055809857, DOI: 10.1038/s41467-019-109… [cited by applicant]
Yudong Cao et al: “Quantum Chemistry in the Age of Quantum Computing”, Chemical Reviews, vol. 119, No. 19, Aug. 30, 2019 (Aug. 30, 2019), pp. 10856-10915, XP055632835, US ISSN: 0009-2665, DOI: 10.1021/ acs.chemrev.8b008… [cited by applicant]
Ho Lun Tang et al: “qubit-ADAPT-VQE: an adaptive algorithm for constructing hardware-efficient ansatze on a quantum processor”, Arxiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853… [cited by applicant]
Qingfeng Wang et al: “Resource-Optimized Fermionic Local-Hamiltonian Simulation on Quantum Computer for Quantum Chemistry”, Arxiv.org, Cornell University Library, 201 Olin Library Cornell University Ithaca, NY 14853, Ap… [cited by applicant]
International Search Report issued in PCT/US2021/018556, dated Jun. 11, 2021. [cited by applicant]
Written Opinion of International Search Report issued in PCT/US2021/018556, dated Jun. 11, 2021. [cited by applicant]