10 papers
Revealing Noise in Axial Motion Through Quantum Noise Spectroscopy on a Trapped Ion Processor
Vivian Maloney, Matthew Chow, Leigh Norris +7
Native noise processes in quantum processors are often difficult to isolate because multiple error mechanisms contribute to the same measured loss of coherence. Here we use dephasi…
Entanglement Scaling and Problem Structure in Quantum Approximate and Adiabatic Optimization Algorithms
Georgios Arapantonis, Paraj Titum, Gregory Quiroz
Entanglement is widely regarded as a key resource underlying the power of quantum algorithms and their potential to achieve quantum advantage. With the emergence of variational qua…
Assessing Spatiotemporally Correlated Noise in Superconducting Qubits via Pulse-Based Quantum Noise Spectroscopy
Mayra Amezcua, Leigh Norris, Tom Gilliss +4
Spatiotemporally correlated errors are widespread in quantum devices and are particularly adversarial to error correcting schemes. To characterize these errors, we propose and vali…
Quantum Noise Suppression at Scale with Crosstalk-Robust Gate Sets
Andy J. Goldschmidt, Emilio Peláez Cisneros, Ryan Sitler +3
We introduce crosstalk-robust gate sets, which are obtained using a novel, scalable optimal control problem exploiting locality. Through the suppression of pairwise quantum crossta…
Towards Predictive Quantum Algorithmic Performance: Modeling Time-Correlated Noise at Scale
Amit Jamadagni, Gregory Quiroz, Eugene Dumitrescu
Combining tensor network techniques with quantum autoregressive moving average models, we quantify the effects of time-correlated noise on quantum algorithms and predict their perf…
Quantum Optimization with Classical Chaos
Malick A. Gaye, Omar Shehab, Paraj Titum +1
The Quantum Approximate Optimization Algorithm (QAOA) is a powerful tool in solving various combinatorial problems such as Maximum Satisfiability and Maximum Cut. Hard computationa…