Methods of Operating Quantum Computing Systems for Amplitude Estimation

US2026044762A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2026044762-A1
Application numberUS-202418904466-A
CountryUS
Kind codeA1
Filing dateOct 2, 2024
Priority dateNov 20, 2020
Publication dateFeb 12, 2026
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

This disclosure relates to enhanced methods of operating quantum computing systems to perform amplitude estimation. More than that, the methods may be tuned to accommodate for specific noise levels (e.g., in given a quantum device). Embodiments also enable quantum computing systems to perform amplitude estimation faster than amplitude estimation algorithms performed using a classical (non-quantum) computer.

First claim

Opening claim text (preview).

1 . A non-transitory computer-readable storage medium storing instructions for determining θ of a quantum unitary operator U within an error ϵ, wherein U|0 t =cos(θ)|x, 0 +sin(θ)|x′, 1 , the instructions, when executed by a computing system, cause the computing system to perform operations comprising: determining a parameter β∈(0,1) and N shots , where N shots is an integer greater than zero; determining a probability distribution p(θ) for a set of angles θ; for k=1 to K: initializing N k0 =0 and N k1 =0; for i=1 to N shtots : instructing a quantum computer to sequentially execute the quantum unitary operator U ⌊ k 1 - β 2 ⁢ β ⌋  times; instructing the quantum computer to measure a qubit of the resulting quantum state; and updating a value of N k0 or N k1 based on the measured value of the qubit; and performing a Bayesian update to the probability distribution p(θ) based on the updated values of N k0 and N k1 ; and determining θ based on the updated probability distribution. 2 . The non-transitory computer-readable storage medium of claim 1 , wherein a total number of times the quantum unitary operator U is executed on the quantum computer to determine θ scales as O(1/ϵ 1+β ). 3 . The non-transitory computer-readable storage medium of claim 1 , wherein the number of times the quantum unitary operator U is sequentially executed in a single run scales as O ⁡ ( 1 ϵ 1 - β ) . 4 . The non-transitory computer-readable storage medium of claim 1 , wherein determining the probability distribution p(θ) for the set of angles θ comprises determining a uniform distribution for a set of angles θ = π ⁢ t ⁢ ϵ 2 , where (t∈[0,1/ϵ]). 5 . The non-transitory computer-readable storage medium of claim 1 , wherein updating the value of N k0 or N k1 based on the measured value of the qubit comprises: responsive to the measured value of the qubit being 0, updating the value of N k0 to be N k0 +1; and responsive to the measured value of the qubit being 1, updating the value of N k1 to be N k1 +1. 6 . The non-transitory computer-readable storage medium of claim 1 , wherein performing the Bayesian update includes p(θ)→p(θ) cos((2m k +1)θ) N k0 sin((2m k +1)θ) N k1 for θ=πtϵ/2 for integer t∈[0,1/ϵ], where m k = ⌊ k 1 - β 2 ⁢ β ⌋ . 7 . The non-transitory computer-readable storage medium of claim 1 , wherein the determined θ based on the updated probability distribution corresponds to a highest probability of the updated probability distribution. 8 . The non-transitory computer-readable storage medium of claim 1 , wherein β is determined based on noise of the quantum computer. 9 . The non-transitory computer-readable storage medium of claim 1 , wherein θ is determined within error ϵ with probability at least 0.9. 10 . The non-transitory computer-readable storage medium of claim 1 , wherein K = max ⁡ ( 1 ϵ 2 ⁢ β , log ⁢ ( 1 / ϵ ) ) . 11 . A non-transitory computer-readable storage medium storing instructions for determining θ of a quantum unitary operator U within an error ϵ, wherein U|0 t =cos(θ)|x, 0 +sin(θ)|x′, 1 , the instructions, when executed by a computing system, cause the computing system to perform operations comprising: determining integer parameters k and q, where k≥2 and 1≤q≤(k−1); determining a set of k co-prime moduli (n 1 , n 2 , . . . , n k ), where N=Π i∈[k] n i is equal to or greater than π/ϵ; partitioning the set of k co-prime moduli (n 1 , n 2 , . . . , n k ) into [k/q] groups π i of size at most q; for i=1 to [k/q]: for a number of iterations: instructing a quantum computer to execute the quantum unitary operator U to generate a quantum state |ϕ (N-N i )/2N i defined by | ϕ μ 〉 = cos ⁡ ( ( 2 ⁢ μ

Assignees

Inventors

Classifications

  • for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

  • G06N10/00Primary

    Quantum computing, i.e. information processing based on quantum-mechanical phenomena · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2026044762A1 cover?
This disclosure relates to enhanced methods of operating quantum computing systems to perform amplitude estimation. More than that, the methods may be tuned to accommodate for specific noise levels (e.g., in given a quantum device). Embodiments also enable quantum computing systems to perform amplitude estimation faster than amplitude estimation algorithms performed using a classical (non-quant…
Who is the assignee on this patent?
Goldman Sachs & Co Llc
What technology area does this patent fall under?
Primary CPC classification G06N10/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Feb 12 2026 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).