Quantum resource estimates for computing elliptic curve discrete logarithms
US-10430162-B2 · Oct 1, 2019 · US
US11010682B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11010682-B2 |
| Application number | US-201515510668-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 11, 2015 |
| Priority date | Sep 11, 2014 |
| Publication date | May 18, 2021 |
| Grant date | May 18, 2021 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A Probabilistic Quantum Circuit with Fallback (PQFs) is composed as a series of circuit stages that are selected to implement a target unitary. A final stage is conditioned on unsuccessful results of all the preceding stages as indicated by measurement of one or more ancillary qubits. This final stage executes a fallback circuit that enforces deterministic execution of the target unitary at a relatively high cost (mitigated by very low probability of the fallback). Specific instances of general PQF synthesis method and are disclosed with reference to the specific Clifford+T, Clifford+V and Clifford+π/12 bases. The resulting circuits have expected cost in logb(1/ε)+O(log(log(1/ε)))+const wherein b is specific to each basis. The three specific instances of the synthesis have polynomial compilation time guarantees.
Opening claim text (preview).
The invention claimed is: 1. A computer-implemented method, comprising: with a computer: establishing a first approximation of a target unitary to a requested precision; expanding the first approximation into a first multi-qubit unitary that implements the target unitary in a selected basis upon successful measurement; defining a fallback circuit in the selected basis, wherein the fallback circuit implements the target unitary based upon an unsuccessful measurement; storing a circuit definition that includes a definition of the first multi-qubit unitary and a definition of the fallback circuit in a computer-readable storage device; and implementing a quantum circuit that includes the fallback circuit and a circuit implementing the first multi-qubit unitary. 2. The computer-implemented method of claim 1 , wherein the target unitary is a multi-qubit unitary, and further comprising: establishing a second approximation of the target unitary to a requested precision based on an unsuccessful output of the first multi-qubit unitary; and expanding the second approximation into a second multi-qubit unitary that implements the target unitary in the selected basis upon successful measurement, wherein the fallback circuit implements the target unitary based upon an unsuccessful measurement associated with the second multi-qubit unitary. 3. The computer-implemented method of claim 2 , wherein the target unitary is of the form 1 2 L ( rz y - y * r * z * ) , wherein z is a cyclotomic rational, r is a probability enhancement factor, and L is a minimal positive integer such that 2 L >|r z| 2 . 4. The computer-implemented method of claim 3 , further comprising selecting a value r ∈Z[√{square root over (2)}] such that a norm equation is solvable for z replaced by rz. 5. The computer-implemented method of claim 1 , further comprising: establishing a series of approximations of the target unitary to a requested precision based on an unsuccessful measurement of a multi-qubit unitary associated with a prior approximation in the series; and expanding the series of approximations into a corresponding series of multi-qubit unitaries that implement the target unitary in the selected basis upon successful measurement, wherein the fallback circuit implements the target unitary based upon an unsuccessful measurement associated with a final multi-qubit unitary in the series. 6. The computer-implemented method of claim 1 , wherein the approximation of the target unitary is based on a rational cyclotomic approximation of the target unitary. 7. The computer-implemented method of claim 6 , further comprising establishing the rational cyclotomic approximation of the target unitary by solving a norm equation. 8. The computer-implemented method of claim 1 , wherein the target unitary is an axial rotation and is approximated by z*/z wherein z is a cyclotomic integer. 9. The computer-implemented method of claim 1 , wherein the multi-qubit unitary is defined with respect to at least one ancillary qubit and at least one primary qubit. 10. The computer-implemented method of claim 1 , wherein the first multi-qubit unitary is coupled to at least one ancillary qubit having a predetermined state. 11. The computer-implemented method of claim 10 , wherein the at least one ancillary qubit is used in each of a plurality of probabilistic quantum circuits with fallback (PQF) stages associated with different multi-qubit unitaries and measurements associated with at least one of the PQF stages.
Quantum error correction, detection or prevention, e.g. surface codes or magic state distillation · CPC title
Models of quantum computing, e.g. quantum circuits or universal quantum computers · CPC title
Nanotechnology for information processing, storage or transmission, e.g. quantum computing or single electron logic · CPC title
Subject matter not provided for in other groups of this subclass · CPC title
Complex mathematical operations {(function generation by table look-up G06F1/03; evaluation of elementary functions by calculation G06F7/544)} · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.