210 citations · 574 across the 25 of their papers we have counts for
27 papers
Dynamical Decoupling of Nonclassical States in a Biased-Noise Spin Qudit
Arjen Vaartjes, Namit Anand, Rocky Y. Su +16
Encoding quantum information in -dimensional systems (qudits) with offers appealing new directions for resource-efficient quantum computing. However, protecting the cohere…
Resilience Beyond the Light Cone: Error-Detected Primitives for Practical Dynamic Circuits
Kevin C. Smith, Bibek Pokharel, Satvik Maurya +1
Dynamic circuits, which augment unitary operations with mid-circuit measurements and classical feedforward, can generate long-range entanglement in constant depth, enabling low-dep…
Learning Midcircuit Measurement Backaction from Three Repeated Measurements
Chia-Tung Chu, Su-un Lee, Han Zheng +4
Accurate modeling of midcircuit measurements (MCMs) is essential for dynamic-circuit operations such as syndrome extraction, measurement-based reset, and the separation of state-pr…
Learning error suppression strategies for dynamic quantum circuits
Christopher Tong, Liran Shirizly, Edward H. Chen +2
Dynamic quantum circuits integrate unitary evolution with mid-circuit measurement and feedforward, enabling conditional operations essential for efficient quantum algorithms and fo…
Benchmarking quantum simulation with neutron-scattering experiments
Yi-Ting Lee, Keerthi Kumaran, Bibek Pokharel +7
Realistic simulation of quantum materials is a central goal of quantum computation. Although quantum processors have advanced rapidly in scale and fidelity, it has remained unclear…
Observation of Improved Accuracy over Classical Sparse Ground-State Solvers using a Quantum Computer
William Kirby, Bibek Pokharel, Javier Robledo Moreno +25
Demonstrating quantum advantage over classical algorithms for ground state energy problems is an outstanding open problem in quantum computation. We experimentally demonstrate that…
Order from chaos with adaptive circuits on quantum hardware
Bibek Pokharel, Haining Pan, Kemal Aziz +8
Programmable quantum devices provide a platform to control the coherent dynamics of quantum wavefunctions. Here we experimentally realize adaptive monitored quantum circuits, which…
Digital Quantum Simulation of Spin Transport
Yi-Ting Lee, Bibek Pokharel, Jeffrey Cohn +2
Understanding transport phenomena in quantum spin systems has long intrigued physicists due to their potential applications in spintronic devices and spin qubits. Here, using a sup…
Superdiffusion resilience in Heisenberg Chains with 2D interactions on a quantum processor
Keerthi Kumaran, Manas Sajjan, Bibek Pokharel +7
Observing superdiffusive scaling in the spin transport of the integrable 1D Heisenberg model is one of the key discoveries in non-equilibrium quantum many-body physics. Despite thi…
Realization of Two-dimensional Discrete Time Crystals with Anisotropic Heisenberg Coupling
Eric D. Switzer, Niall Robertson, Nathan Keenan +7
A discrete time crystal (DTC) is the paradigmatic example of a phase of matter that occurs exclusively in systems out of equilibrium. This phenomenon is characterized by the sponta…
Quantum-Centric Algorithm for Sample-Based Krylov Diagonalization
Jeffery Yu, Javier Robledo Moreno, Joseph T. Iosue +17
Approximating the ground state of many-body systems is a key computational bottleneck underlying important applications in physics and chemistry. The most widely known quantum algo…
Tensor Network enhanced Dynamic Multiproduct Formulas
Niall F. Robertson, Bibek Pokharel, Bryce Fuller +10
Tensor networks and quantum computation are two of the most powerful tools for the simulation of quantum many-body systems. Rather than viewing them as competing approaches, here w…
Diagonalization of large many-body Hamiltonians on a quantum processor
Nobuyuki Yoshioka, Mirko Amico, William Kirby +16
The estimation of low energies of many-body systems is a cornerstone of computational quantum sciences. Variational quantum algorithms can be used to prepare ground states on pre-f…
Empirical learning of dynamical decoupling on quantum processors
Christopher Tong, Helena Zhang, Bibek Pokharel
Dynamical decoupling (DD) is a low-overhead method for quantum error suppression. Despite extensive work in DD design, finding pulse sequences that optimally decouple computational…
Dynamically Generated Decoherence-Free Subspaces and Subsystems on Superconducting Qubits
Gregory Quiroz, Bibek Pokharel, Joseph Boen +7
Decoherence-free subspaces and subsystems (DFS) preserve quantum information by encoding it into symmetry-protected states unaffected by decoherence. An inherent DFS of a given exp…
Pulse variational quantum eigensolver on cross-resonance based hardware
Daniel J. Egger, Chiara Capecci, Bibek Pokharel +4
State-of-the-art noisy digital quantum computers can only execute short-depth quantum circuits. Variational algorithms are a promising route to unlock the potential of noisy quantu…
Better-than-classical Grover search via quantum error detection and suppression
Bibek Pokharel, Daniel Lidar
Grover's search algorithm is one of the first quantum algorithms to exhibit a provable quantum advantage. It forms the backbone of numerous quantum applications and is widely used…
Scalable Measurement Error Mitigation via Iterative Bayesian Unfolding
Siddarth Srinivasan, Bibek Pokharel, Gregory Quiroz +1
Measurement error mitigation (MEM) techniques are postprocessing strategies to counteract systematic read-out errors on quantum computers (QC). Currently used MEM strategies face a…
Demonstration of algorithmic quantum speedup
Bibek Pokharel, Daniel A. Lidar
Quantum algorithms theoretically outperform classical algorithms in solving problems of increasing size, but computational errors must be kept to a minimum to realize this potentia…
Dynamical decoupling for superconducting qubits: a performance survey
Nic Ezzell, Bibek Pokharel, Lina Tewala +2
Dynamical Decoupling (DD) is perhaps the simplest and least resource-intensive error suppression strategy for improving quantum computer performance. Here we report on a large-scal…
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall +3
Neural Radiance Fields (NeRF) have emerged as a powerful representation for the task of novel view synthesis due to their simplicity and state-of-the-art performance. Though NeRF c…
Predicting non-Markovian superconducting qubit dynamics from tomographic reconstruction
Haimeng Zhang, Bibek Pokharel, E. M. Levenson-Falk +1
Non-Markovian noise presents a particularly relevant challenge in understanding and combating decoherence in quantum computers, yet is challenging to capture in terms of simple mod…
Phase transitions in the frustrated Ising ladder with stoquastic and nonstoquastic catalysts
Kabuki Takada, Shigetoshi Sota, Seiji Yunoki +3
The role of nonstoquasticity in the field of quantum annealing and adiabatic quantum computing is an actively debated topic. We study a strongly-frustrated quasi-one-dimensional qu…
Chaos in the quantum Duffing oscillator in the semiclassical regime under parametrized dissipation
Andrew D. Maris, Bibek Pokharel, Sharan Ganjam Seshachallam +2
We study the quantum dissipative Duffing oscillator across a range of system sizes and environmental couplings under varying semiclassical approximations. Using spatial (based on K…