Jarrod R. McClean

Computer Science · Physical Sciences

47h-index19.0kcitations156works25.72yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(105), Quantum Information and Cryptography(83), Quantum and electron transport phenomena(39), Quantum many-body systems(27), Neural Networks and Reservoir Computing(22)

Publications126 total

Quantum advantage for learning shallow neural networks with natural data distributions
Nature Communications·2025Open Access
The Grand Challenge of Quantum Applications
arXiv (Cornell University)·2025Open Access
Anonymous Quantum Tokens with Classical Verification
arXiv (Cornell University)·2025Open Access
Quantum advantage for learning shallow neural networks with natural data distributions
ArXiv.org·2025Open Access
Barren plateaus in variational quantum computing
Nature Reviews Physics·2025· 114 cited
Consumable Data Via Quantum Communication
SSRN Electronic Journal·2025Open Access
Exponential Learning Advantages with Conjugate States and Minimal Quantum Memory
PRX Quantum·2024· 3 citedOpen Access
Consumable Data via Quantum Communication
arXiv (Cornell University)·2024Open Access
Learning Shallow Quantum Circuits
2024· 19 citedOpen Access
Barren Plateaus in Variational Quantum Computing
arXiv (Cornell University)·2024· 29 citedOpen Access
Exponential learning advantages with conjugate states and minimal quantum memory
arXiv (Cornell University)·2024Open Access
Accelerating Quantum Algorithms with Precomputation
Quantum·2024· 7 citedOpen Access
Learning shallow quantum circuits
arXiv (Cornell University)·2024Open Access
Exponential Quantum Communication Advantage in Distributed Inference and Learning
2024
Learning quantum systems via out-of-time-order correlators
Physical Review Research·2023· 7 citedOpen Access
Quantum error mitigation
Reviews of Modern Physics·2023· 484 cited
Measurement-induced entanglement and teleportation on a noisy quantum processor
Nature·2023· 151 citedOpen Access
Exponential Quantum Communication Advantage in Distributed Inference and Learning
arXiv (Cornell University)·2023· 4 citedOpen Access
On quantum backpropagation, information reuse, and cheating measurement collapse
arXiv (Cornell University)·2023· 12 citedOpen Access
Accelerating Quantum Algorithms with Precomputation
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Ryan Babbush(33), Jiang Zhang(19), Craig Gidney(18), Hartmut Neven(16), William J. Huggins(14), Sergio Boixo(13), Nicholas C. Rubin(13), Michael Broughton(12), Austin G. Fowler(12), Matthew P. Harrigan(12), Frank Arute(11), Kunal Arya(11), Joseph C. Bardin(11), Brian Burkett(11), Roberto Collins(11), Edward Farhi(11), Brooks Foxen(11), Marissa Giustina(11), Trent Huang(11), Sergei V. Isakov(11)