Benchmarking universal quantum gates via channel spectrum
arXiv:2301.02056 · doi:10.1038/s41467-023-41598-8
Abstract
Noise remains the major obstacle to scalable quantum computation. Quantum benchmarking provides key information on noise properties and is an important step for developing more advanced quantum processors. However, current benchmarking methods are either limited to a specific subset of quantum gates or cannot directly describe the performance of the individual target gate. To overcome these limitations, we propose channel spectrum benchmarking (CSB), a method to infer the noise properties of the target gate, including process fidelity, stochastic fidelity, and some unitary parameters, from the eigenvalues of its noisy channel. Our CSB method is insensitive to state-preparation and measurement errors, and importantly, can benchmark universal gates and is scalable to many-qubit systems. Unlike standard randomized schemes, CSB can provide direct noise information for both target native gates and circuit fragments, allowing benchmarking and calibration of global entangling gates and frequently used modules in quantum algorithms like Trotterized Hamiltonian evolution operator in quantum simulation.
14 pages, 5 figures, Published version
References in corpus (18)
- Supplementary information for "Quantum supremacy using a programmable superconducting processor"
- Surface codes: Towards practical large-scale quantum computation
- A Quantum Approximate Optimization Algorithm
- Strong quantum computational advantage using a superconducting quantum processor
- Randomized Benchmarking of Quantum Gates
- Experimental Quantum State Tomography of Optical Fields and Ultrafast Statistical Sampling
- Robust randomized benchmarking of quantum processes
- Direct Fidelity Estimation from Few Pauli Measurements
- Spectral signatures of many-body localization with interacting photons
- Polynomial-time quantum algorithm for the simulation of chemical dynamics
- Characterization of addressability by simultaneous randomized benchmarking
- Observation of a many-body-localized discrete time crystal with a programmable spin-based quantum simulator
- Noise-resilient Edge Modes on a Chain of Superconducting Qubits
- Noise-resilient phase estimation with randomized compiling
- Constant-cost implementations of Clifford operations and multiply controlled gates using global interactions
- Benchmarking universal quantum gates via channel spectrum
- Simulating scalar field theories on quantum computers with limited resources
- Randomized Benchmarking Beyond Groups
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- Mitigating Errors in Analog Quantum Simulation by Hamiltonian Reshaping or Hamiltonian Rescaling
- Topology-Aware Block Coordinate Descent for Qubit Frequency Allocation of Superconducting Quantum Processors
- Benchmarking Single-Qubit Gates on a Neutral Atom Quantum Processor