“Optimal Control for Closed and Open System Quantum Optimization”, Phys. Rev. Applied 16, 054023 (2021), by L. Campos Venuti, D. D’Alessandro and D. A. Lidar [link]
“Charged particle tracking with quantum annealing-inspired optimization”, Quantum Machine Intelligence 3, 27 (2021), by A. Zlokapa, A. Anand, J-R. Vlimant, J. Duarte, J. Job, D. Lidar and M. Spiropulu [link]
“Identification of driver genes for severe forms of COVID-19 in a deeply phenotyped young patient cohort”, Science Translational Medicine (2021), by
“Calibration of flux crosstalk in large-scale flux-tunable superconducting quantum circuits”, PRX Quantum 2, 040313 (2021), by X. Dai, D. M. Tennant, R. Trappen, A. J. Martinez, D. Melanson, M. A. Yurtalan, Y. Tang, S. Novikov, J. A. Grover, S. M. Disseler, J. I. Basham, R. Das, D. K. Kim, A. J. Melville, B. M. Niedzielski, S. J. Weber, J. L. Yoder, D. A. Lidar, and A. Lupascu [link]
“Phase transitions in the frustrated Ising ladder with stoquastic and non-stoquastic catalysts”, Phys. Rev. Research 3 (2021), by K. Takada, S. Sota, S. Yunoki, B. Pokharel, H. Nishimori, D. A. Lidar [link]
“Prospects for quantum enhancement with diabatic quantum annealing”, Nat Rev Phys 3, 466–489 (2021), by E. J. Crosson and D. A. Lidar [link]
“Quantum processor-inspired machine learning in the biomedical sciences”, Patterns 2, 100246 (2021) by R. Li, S. Gujja, S. Bajaj, O. Gamel, N. Cilfone, J. Gulcher, D. A. Lidar and T. Chittenden [link]
“Low overhead universality and quantum supremacy using only Z-control”, Phys. Rev. Research 3, 033207 (2021), by B. Barch, R. Mohseninia and D. A. Lidar [link]
“Anneal-path correction in flux qubits”, npj Quantum Information 7, 36 (2021), by M. Khezri, J. Grover, J. Basham, S. Disseler, H. Chen, S. Novikov, K. Zick, D. A. Lidar [link]