Systematic Crosstalk Mitigation for Superconducting Qubits via Frequency-Aware Compilation

Abstract

One of the key challenges in current Noisy Intermediate-Scale Quantum (NISQ) computers is to control a quantum system with high-fidelity quantum gates. There are many reasons a quantum gate can go wrong -- for superconducting transmon qubits in particular, one major source of gate error is the unwanted crosstalk between neighboring qubits due to a phenomenon called frequency crowding. We motivate a systematic approach for understanding and mitigating the crosstalk noise when executing near-term quantum programs on superconducting NISQ computers. We present a general software solution to alleviate frequency crowding by systematically tuning qubit frequencies according to input programs, trading parallelism for higher gate fidelity when necessary. The net result is that our work dramatically improves the crosstalk resilience of tunable-qubit, fixed-coupler hardware, matching or surpassing other more complex architectural designs such as tunable-coupler systems. On NISQ benchmarks, we improve worst-case program success rate by 13.3x on average, compared to existing traditional serialization strategies.

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• Systems Architecture for Quantum Random Access Memory
• Hungarian Qubit Assignment for Optimized Mapping of Quantum Circuits on Multi-Core Architectures
• Robust Qubit Mapping Algorithm via Double-Source Optimal Routing on Large Quantum Circuits
• Suppressing Correlated Noise in Quantum Computers via Context-Aware Compiling
• Dancing the Quantum Waltz: Compiling Three-Qubit Gates on Four Level Architectures
• Route-Forcing: Scalable Quantum Circuit Mapping for Scalable Quantum Computing Architectures
• Quantum Vulnerability Analysis to Accurate Estimate the Quantum Algorithm Success Rate
• On the Impact of Classical and Quantum Communication Networks Upon Modular Quantum Computing Architecture System Performance
• Crosstalk-Based Parameterized Quantum Circuit Approximation