Datasets & Competitions
Dataset for Analysis of a Programmable Quantum Annealer as a Random Number Generator
Paper: https://arxiv.org/abs/2307.02573
The raw measurements from the D-Wave quantum annealer are -1/+1 spins. They were converted to binary bitstrings by mapping all -1 spins to 0 states.
The datafiles are .bin files where each bit is time ordered (and fixed hardware-indexed ordered). The number of qubits on the device is 2032, so each group of 2032 bits is one anneal-readout cycle.
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Dataset for the paper titled "Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems". This data includes the minor embeddings and raw D-Wave measurements.
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Quantum volume (QV) has become the de-facto standard benchmark to quantify the capability of Noisy Intermediate-Scale Quantum (NISQ) devices. While QV values are often reported by NISQ providers for their systems, we perform our own series of QV calculations on 24 NISQ devices currently offered by IBM~Q, IonQ, Rigetti, Oxford Quantum Circuits, and Quantinuum (formerly Honeywell). Our approach characterizes the performances that an advanced user of these NISQ devices can expect to achieve with a reasonable amount of optimization, but without white-box access to the device.
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