most citedFermion-to-qubit encodings with arbitrary code distance

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quant-ph2025

Simulation and Benchmarking of Real Quantum Hardware

T. Piskor, M. Schöndorf, M. Bauer +5

The effects of noise are one of the most important factors to consider when it comes to quantum computing in the noisy intermediate-scale quantum computing (NISQ) era that we are c…

quant-ph20251 cited

Fermion-to-qubit encodings with arbitrary code distance

Manuel G. Algaba, Miha Papič, Inés de Vega +2

We introduce a framework which allows to systematically and arbitrarily scale the code distance of local fermion-to-qubit encodings in one and two dimensions without growing the we…

quant-ph2025

A Superconducting Qubit-Resonator Quantum Processor with Effective All-to-All Connectivity

Michael Renger, Jeroen Verjauw, Nicola Wurz +62

In this work we introduce a superconducting quantum processor architecture that uses a transmission-line resonator to implement effective all-to-all connectivity between six transm…

quant-ph2024

Multi-Layer Cycle Benchmarking for high-accuracy error characterization

Alessio Calzona, Miha Papič, Pedro Figueroa-Romero +1

Accurate noise characterization is essential for reliable quantum computation. Effective Pauli noise models have emerged as powerful tools, offering detailed description of the err…

quant-ph2024

Estimating the coherence of noise in mid-scale quantum systems

Pedro Figueroa-Romero, Miha Papič, Adrian Auer +1

While the power of quantum computers is commonly acknowledged to rise exponentially, it is often overlooked that the complexity of quantum noise mechanisms generally grows much fas…