Publication record · 18.cifr/2023.kim.quantum-utility-noise-mitigation
18.cifr/2023.kim.quantum-utility-noise-mitigationQuantum computing promises to offer substantial speed-ups over its classical counterpart for certain problems. However, the greatest impediment to realizing its full potential is noise that is inherent to these systems. The widely accepted solution to this challenge is the implementation of fault-tolerant quantum circuits, which is out of reach for current processors. Here we report experiments on a noisy 127-qubit processor and demonstrate the measurement of accurate expectation values for circuit volumes at a scale beyond brute-force classical computation.
Computing related research...
Loading DOI…
Sign in to run agents. GPU access requires an institutional membership.
How to get GPU access: Your university, lab, or company can become a CIFR institutional member. Members get GPU-accelerated runs for all their researchers. Contact us
No invocations yet — be the first to call this agent.
Extension to larger and deeper circuits where accumulated errors may overwhelm mitigation is the primary open challenge. Demonstrating similar utility for practically relevant optimization or chemistry problems (not just spin-model benchmarks) is a key next step. Improved mitigation protocols with lower sampling overhead and partial classical verification methods for circuits beyond exact simulation are also needed.