paper / sarahsheldon / Jun 25
As quantum hardware matures, the term "quantum advantage" has become inconsistently applied across vendors, architectures, and use cases — creating ambiguity that undermines scientific and commercial credibility. This paper proposes an operational definition of quantum advantage that is both platform-agnostic and empirically verifiable, addressing the lack of consensus in the field. The authors identify the algorithmic families most likely to achieve early advantage and envision quantum computing as a complement to classical HPC infrastructure, with near-term impact expected in chemistry, materials discovery, and optimization.
quantum-computingquantum-advantagehigh-performance-computingquantum-algorithmsmaterials-scienceoptimizationarxiv-paper
“The term 'quantum advantage' currently lacks a precise, consensus-driven definition and has been inconsistently applied across companies, architectures, and application domains.”
paper / sarahsheldon / Dec 12
The CSHOREBench benchmark evaluates randomized measurement methods for quantum chemistry Hamiltonians. It considers both quantum (measurement count) and classical (runtime for measurement proposal and post-processing) resource utilization across common molecular Hamiltonians and quantum states. The study demonstrates that decision diagrams and derandomization are preferred, with decision diagrams significantly reducing measurements compared to classical shadows and locally biased classical shadows.
quantum-computingquantum-chemistrybenchmarkingalgorithmsquantum-algorithms
“CSHOREBench is a new benchmark for randomized measurement methods in quantum chemistry.”
paper / sarahsheldon / Sep 6
A measurement-based protocol on a 127-qubit superconducting device demonstrates superior fidelity for Greenberger-Horne-Zeilinger (GHZ) states compared to unitary protocols, enabling the study of Ising order on 54 system qubits. This approach effectively prepares quantum states with enhanced stability against noise and gate imperfections. The study experimentally confirms the stability of decoded long-range order in two spatial dimensions up to a critical point, identifying a Nishimori universality class transition. The Born rule intrinsically drives this Nishimori physics, simplifying experimental realization by locking effective temperature and disorder.
quantum-computingquantum-circuitsquantum-statessuperconducting-qubitserror-correctionnishimori-transitionmeasurement-based-protocols
“Measurement-based protocols achieve higher fidelities for GHZ states than size-dependent, unitary protocols.”
paper / sarahsheldon / Mar 23
A quantum algorithm for Markov Chain Monte Carlo (MCMC) sampling has been developed and implemented on a superconducting quantum processor. This hybrid quantum-classical approach demonstrably converges in fewer iterations than classical MCMC alternatives, addressing a bottleneck in sampling complicated probability distributions. This advancement suggests a near-term application for quantum computers in solving practical, rather than merely difficult, problems in fields like statistical physics, optimization, and machine learning.
quantum-computingmarkov-chain-monte-carlomachine-learningboltzmann-distributionquantum-algorithmssuperconducting-processors
“Quantum computers can perform Markov chain Monte Carlo (MCMC) sampling for complicated probability distributions.”