Problem
Research questions and friction points this paper is trying to address.
quantum benchmarking
quantum advantage
superconducting qubits
ion-trap qubits
quantumness
Benchmarking quantum computers via protocols
🤖 AI Summary
This work addresses the absence of a unified standard for fairly comparing the “quantumness” and practical advantages of disparate quantum computing architectures, such as superconducting and trapped-ion systems. To this end, it introduces a technology-agnostic, protocol-based benchmarking framework that derives a binary fidelity threshold from the classical limit of state transmission, enabling direct measurement of quantumness on optimal sub-chips. By implementing consistent quantum state transfer experiments across platforms, the method facilitates comparable and equitable evaluation. This framework provides, for the first time, a clear and fair criterion for assessing quantum advantage across diverse hardware platforms. It has been successfully applied to leading superconducting and trapped-ion systems, revealing performance variations among chips and sub-regions, thereby establishing a universal benchmark for quantum hardware evaluation.
📝 Abstract
Benchmarking quantum computers often deals with the parameters of single qubits or gates and sometimes deals with algorithms run on an entire chip or a noisy simulator of a chip. Here we propose the idea of using protocols to benchmark quantum computers. The advantage of using protocols, especially the seven suggested here, over other benchmarking methods is that there is a clear cutoff (i.e., a threshold) distinguishing quantumness from classicality for each of our protocols. The protocols we suggest enable a comparison among various circuit-based quantum computers, and also between real chips and their noisy simulators. This latter method may then be used to better understand the various types of noise of the real chips. We use some of these protocols to answer an important question: ``How many effective qubits are there in this N-qubit quantum computer/simulator?'', and we then conclude which effective sub-chips can be named ``truly-quantum''.
Innovation
Methods, ideas, or system contributions that make the work stand out.
quantum benchmarking
quantumness
fidelity threshold
cross-platform comparison
quantum advantage
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