125 citations · 302 across the 41 of their papers we have counts for
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Component-Level Inverse Design of Transmon Qubits Using Neural Networks
Olivia Seidel, Firas Abouzahr, Abhishek Chakraborty +11
Designing a superconducting qubit to realize specific Hamiltonian parameters typically requires iterating through a time and compute-intensive forward loop in which the designer ch…
Accelerating Quantum Tensor Network Simulations with Unified Path Variations and Non-Degenerate Batched Sampling
Taylor Lee Patti, Paavai Pari, Yang Gao +5
Quantum trajectory methods reduce the computational overhead of simulating noisy quantum systems, approximating them with stochastically sampled -entry quantum statevector…
Augmenting Simulated Noisy Quantum Data Collection by Orders of Magnitude Using Pre-Trajectory Sampling with Batched Execution
Taylor L. Patti, Thien Nguyen, Justin G. Lietz +2
Classically simulating quantum systems is challenging, as even noiseless -qubit quantum states scale as . The complexity of noisy quantum systems is even greater, requiring…
GPU-accelerated Effective Hamiltonian Calculator
Abhishek Chakraborty, Taylor L. Patti, Brucek Khailany +2
Effective Hamiltonian calculations for large quantum systems can be both analytically intractable and numerically expensive using standard techniques. In this manuscript, we presen…