Error rate reduction of single-qubit gates via noise-aware decomposition into native gates

Abstract

In the current era of Noisy Intermediate-Scale Quantum (NISQ) technology, the practical use of quantum computers remains inhibited by our inability to aptly decouple qubits from their environment to mitigate computational errors. In this work, we introduce an approach by which knowledge of a qubit's initial quantum state and the standard parameters describing its decoherence can be leveraged to mitigate the noise present during the execution of a single-qubit gate. We benchmark our protocol using cloud-based access to IBM quantum processors. On ibmq_rome, we demonstrate a reduction of the single-qubit error rate by $38\%$, from $1.6\times 10^{-3}$ to $1.0\times 10^{-3}$, provided the initial state of the input qubit is known. On ibmq_bogota, we prove that our protocol will never decrease gate fidelity, provided the system's $T_1$ and $T_2$ times have not drifted above $100$ times their assumed values. The protocol can be used to reduce quantum state preparation errors, as well as to improve the fidelity of quantum circuits for which some knowledge of the qubits' intermediate states can be inferred. This work presents a pathway to using information about noise levels and quantum state distributions to significantly reduce error rates associated with quantum gates via optimized decomposition into native gates.

arXiv comment13 pages, 8 figures

References in corpus (28)

• SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
• Quantum Computing in the NISQ era and beyond
• Quantum Computation with Quantum Dots
• Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer
• Coherent control of macroscopic quantum states in a single-Cooper-pair box
• QuTiP 2: A Python framework for the dynamics of open quantum systems
• QuTiP: An open-source Python framework for the dynamics of open quantum systems
• A Quantum Engineer's Guide to Superconducting Qubits
• Non-Markovian dynamics in open quantum systems
• Coupling Superconducting Qubits via a Cavity Bus
• Randomized Benchmarking of Quantum Gates
• Quantum information processing with superconducting circuits: a review
• Efficient Z-Gates for Quantum Computing
• Noise tailoring for scalable quantum computation via randomized compiling
• Quantum-assisted quantum compiling
• Resource-Aware Quantum Programming with General Recursion and Quantum Control
• Single-shot qubit readout in circuit Quantum Electrodynamics
• Single-shot qubit readout in circuit Quantum Electrodynamics
• Concrete Categorical Model of a Quantum Circuit Description Language with Measurement
• Fast and Unconditional All-Microwave Reset of a Superconducting Qubit
• Demonstration of fidelity improvement using dynamical decoupling with superconducting qubits
• Leakage reduction in fast superconducting qubit gates via optimal control
• High-fidelity measurement of qubits encoded in multilevel superconducting circuits
• Pulsed reset protocol for fixed-frequency superconducting qubits
• Experimental quantum verification in the presence of temporally correlated noise
• Error-robust quantum logic optimization using a cloud quantum computer interface
• Rabi oscillations in a qubit coupled to a quantum two-level system
• Rabi oscillations of a qubit coupled to a two-level system

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