Giga-cell linear solver method and apparatus for massive parallel reservoir simulation
US-9208268-B2 · Dec 8, 2015 · US
US2019258757A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2019258757-A1 |
| Application number | US-201916275030-A |
| Country | US |
| Kind code | A1 |
| Filing date | Feb 13, 2019 |
| Priority date | Feb 20, 2018 |
| Publication date | Aug 22, 2019 |
| Grant date | — |
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The disclosure describes various aspects of techniques for optimal fault-tolerant implementations of controlled-Za gates and Heisenberg interactions. Improvements in the implementation of the controlled-Za gate can be made by using a clean ancilla and in-circuit measurement. Various examples are described that depend on whether the implementation is with or without measurement and feedforward. The implementation of the Heisenberg interaction can leverage the improved controlled-Za gate implementation. These implementations can cut down significantly the implementation costs associated with fault-tolerant quantum computing systems.
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What is claimed is: 1 . A method for performing a quantum algorithm, comprising: identifying use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1]; implementing the controlled-Z a gate for a fault-tolerant quantum information processing (QIP) system, wherein the implementation of the controlled-Z a gate includes multiple elements with only six (6) of the elements being controlled-NOT (CNOT) gates; mapping the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and performing the quantum algorithm based at least in part on the physical representation. 2 . The method of claim 1 , wherein the quantum algorithm is a quantum Fourier transform (QFT). 3 . The method of claim 1 , wherein implementing the controlled-Z a gate for the fault-tolerant QIP system includes identifying that the implementation of the controlled-Z a gate is without measurement and feedforward. 4 . The method of claim 1 , wherein the multiple elements of the implementation of the controlled-Z a gate further include: one (1) parametrized Z a gate, eight (8) T gates, four (4) Hadamard (H) gates, and one (1) ancilla. 5 . The method of claim 1 , wherein implementing the controlled-Z a gate includes implementing the controlled-Z a gate without P gates and without P † gates. 6 . The method of claim 1 , wherein: the fault-tolerant QIP system is a trapped-ion QIP system, and mapping the implementation of the controlled-Z a gate includes mapping the implementation of the controlled-Z a gate using multiple trapped-ion-based qubits in the trapped-ion QIP system. 7 . The method of claim 1 , wherein: the fault-tolerant QIP system is a superconducting QIP system, and mapping the implementation of the controlled-Z a gate includes mapping the implementation of the controlled-Z a gate using multiple superconducting-based qubits in the superconducting QIP system. 8 . A fault-tolerant quantum information processing (QIP) system for performing a quantum algorithm, comprising: an implementation component configured to: identify use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1], implement the controlled-Z a gate for the fault-tolerant QIP system, wherein the implementation of the controlled-Z a gate includes multiple elements with only six (6) of the elements being controlled-NOT (CNOT) gates, and map the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and an algorithms component configured to perform the quantum algorithm based at least in part on the physical representation. 9 . A non-transitory computer-readable medium storing code with instructions executable by a processor for performing a quantum algorithm, comprising: code for identifying use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1]; code for implementing the controlled-Z a gate for a fault-tolerant quantum information processing (QIP) system, wherein the implementation of the controlled-Z a gate includes multiple elements with only six (6) of the elements being controlled-NOT (CNOT) gates; code for mapping the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and code for performing the quantum algorithm based at least in part on the physical representation. 10 . A method for performing a quantum algorithm, comprising: identifying use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1]; implementing the controlled-Z a gate for a fault-tolerant quantum information processing (QIP) system, wherein the implementation of the controlled-Z a gate includes multiple elements with only four (4) of the elements being T gates, only three (3) of the elements being controlled-NOT (CNOT) gates, and only three (3) of the elements being Hadamard (H) gates; mapping the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and performing the quantum algorithm based at least in part on the physical representation. 11 . The method of claim 10 , wherein the quantum algorithm is a quantum Fourier transform (QFT). 12 . The method of claim 10 , wherein implementing the controlled-Z a gate for the fault-tolerant QIP system includes identifying that the implementation of the controlled-Z a gate is with measurement and feedforward. 13 . The method of claim 10 , wherein the multiple elements of the implementation of the controlled-Z a gate further include: one (1) parametrized Z a gate, one (1) ancilla, one (1) measurement, and one (1) classically-conditioned controlled Pauli-Z gate. 14 . The method of claim 10 , wherein implementing the controlled-Z a gate includes implementing the controlled-Z a gate without P gates and P † gates. 15 . The method of claim 10 , wherein: the fault-tolerant QIP system is a trapped-ion QIP system, and mapping the implementation of the controlled-Z a gate includes mapping the implementation of the controlled-Z a gate using multiple trapped-ion-based qubits in the trapped-ion QIP system. 16 . The method of claim 10 , wherein: the fault-tolerant QIP system is a superconducting QIP system, and mapping the implementation of the controlled-Z a gate includes mapping the implementation of the controlled-Z a gate using multiple superconducting-based qubits in the superconducting QIP system. 17 . A fault-tolerant quantum information processing (QIP) system for performing a quantum algorithm, comprising: an implementation component configured to: identify use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1], implement the controlled-Z a gate for the fault-tolerant QIP system, wherein the implementation of the controlled-Z a gate includes multiple elements with only four (4) of the elements being T gates, only three (3) of the elements being controlled-NOT (CNOT) gates, and only three (3) of the elements being Hadamard (H) gates, and map the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and an algorithms component configured to perform the quantum algorithm based at least in part on the physical representation. 18 . A non-transitory computer-readable medium storing code with instructions executable by a processor for performing a quantum algorithm, comprising: code for identifying use of a controlled-Z a gate as part of the quantum algorithm, wherein a is a parameter and a∈[−1, 1]; code for implementing the controlled-Z a gate for a fault-tolerant quantum information processing (QIP) system, wherein the implementation of the controlled-Z a gate includes multiple elements with only four (4) of the elements being T gates, only three (3) of the elements being controlled-NOT (CNOT) gates, and only three (3) of the elements being Hadamard (H) gates; code for mapping the implementation of the controlled-Z a gate into a physical representation in the fault-tolerant QIP system; and code for performing the quantum algorithm based at least in part on the physical representation. 19 . A method for performing a quantum simulation, comprising: identifying use of a Heisenberg interaction as part of the quantum simulation; identifying a controlled-Z a gate for implementing the Heise
Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) · CPC title
Error avoidance (G06F11/07 and subgroups take precedence) · CPC title
Physics · mapped topic
Quantum computing, i.e. information processing based on quantum-mechanical phenomena · CPC title
Models of quantum computing, e.g. quantum circuits or universal quantum computers · CPC title
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