14 citations · 36 across the 23 of their papers we have counts for
24 papers
Post-Optimization Subspace Corrections to Quantum Ansätze
Prince Frederick Kwao, Bharath Sambasivam, Jason Saroni +3
Circuit depth and measurement count are the main limitations for chemical applications of the leading variational quantum algorithms on quantum computers. We show that both resourc…
An efficient algorithm for approximate shadow Hamiltonian simulation
Abhijit Chakraborty, Bharath Sambasivam, Karunya Shirali +4
We propose an efficient algorithm based on shadow Hamiltonian simulation to approximately simulate the real-time dynamics of observables under time-independent Hamiltonians. Shadow…
Quantum simulation of molecular excited-state manifolds and energies using the TEPID-ADAPT-VQE algorithm
Jason Saroni, Bharath Sambasivam, Ayush Asthana +1
The simulation of molecular excited states is a key challenge in quantum chemistry and a promising application for quantum computing. In this work, we investigate the efficacy of t…
Ground state preparation of random all-to-all Hamiltonians using ADAPT-VQE
Sabhyata Gupta, Bharath Sambasivam, Sophia E. Economou +3
The ground state of random Hamiltonians with all-to-all interactions such as the quantum Sherrington-Kirkpatrick (SK) model and the Sachdev-Ye-Kitaev (SYK) model follow volume-law…
How fast can a quantum gate be? Exact speed limits from geometry
Hunter Nelson, Edwin Barnes
The speed of quantum evolution is limited under finite energy resources. While most quantum speed limits (QSLs) are formulated in terms of quantum states, they can be extended to t…
TIMES-ADAPT: A Quantum algorithm for real-time evolution in low-energy subspaces using fixed-depth circuits
Bharath Sambasivam, Kyle Sherbert, Karunya Shirali +3
We propose a new variational quantum algorithm, which we refer to as TIMES-ADAPT, that prepares time-evolved states in a low-energy or symmetric subspace of a time-independent Hami…
Co-Designed Adaptive Quantum State Preparation Protocols
Mafalda Ramôa, Luis Paulo Santos, Nicholas J. Mayhall +2
We propose a co-designed variant of ADAPT-VQE (Co-ADAPT-VQE) where the quantum hardware is taken into account in the construction of the ansatz. This framework can be readily used…
Strategies for Overcoming Gradient Troughs in the ADAPT-VQE Algorithm
Jonas Stadelmann, Julian Übelher, Mafalda Ramôa +3
The adaptive derivative-assembled problem-tailored variational quantum eigensolver (ADAPT-VQE) provides a promising approach for simulating highly correlated quantum systems on qua…
Theoretical Analysis and Simulations of Memory-based and All-photonic Quantum Repeaters and Networks
Chuen Hei Chan, Charu Jain, Ezra Kissel +4
Developing and deploying advanced Quantum Repeater (QR) technologies will be necessary to scale quantum networks to longer distances. Depending on the error mitigation mechanisms a…
Quantifying electron-nuclear spin entanglement dynamics in central-spin systems using one-tangles
Isabela Gnasso, Khadija Sarguroh, Dorian Gangloff +2
Optically-active solid-state systems such as self-assembled quantum dots, rare-earth ions, and color centers in diamond and SiC are promising candidates for quantum network, comput…
Dynamical error reshaping for dual-rail erasure qubits
Filippos Dakis, Shruti Puri, Sophia E. Economou +1
Erasure qubits -- qubits designed to have an error profile that is dominated by detectable leakage errors -- are a promising way to cut down the resources needed for quantum error…
Qubit-efficient quantum chemistry with the ADAPT variational quantum eigensolver and double unitary downfolding
Harjeet Singh, Luke W. Bertels, Daniel Claudino +5
In this work, we combine the recently developed double unitary coupled cluster (DUCC) theory with the adaptive, problem-tailored variational quantum eigensolver (ADAPT-VQE) to expl…
TEPID-ADAPT: Adaptive variational method for simultaneous preparation of low-temperature Gibbs and low-lying eigenstates
Bharath Sambasivam, Kyle Sherbert, Karunya Shirali +4
Preparing Gibbs states, which describe systems in equilibrium at finite temperature, is of great importance, particularly at low temperatures. In this work, we propose a new method…
Floquet-ADAPT-VQE: A Quantum Algorithm to Simulate Non-Equilibrium Physics in Periodically Driven Systems
Abhishek Kumar, Karunya Shirali, Nicholas J. Mayhall +2
Periodically driven quantum systems exhibit many fascinating phenomena absent in equilibrium systems, but their simulation is more challenging than that of static systems. Conseque…
Outcomes from a Workshop on a National Center for Quantum Education
Edwin Barnes, Michael B. Bennett, Alexandra Boltasseva +35
In response to numerous programs seeking to advance quantum education and workforce development in the United States, experts from academia, industry, government, and professional…
Quantum thermalization and Floquet engineering in a spin ensemble with a clock transition
Mi Lei, Rikuto Fukumori, Chun-Ju Wu +4
Studying and controlling quantum many-body interactions is fundamentally important for quantum science and related emerging technologies. Optically addressable solid-state spins of…
Optimization complexity and resource minimization of emitter-based photonic graph state generation protocols
Evangelia Takou, Edwin Barnes, Sophia E. Economou
Photonic graph states are important for measurement- and fusion-based quantum computing, quantum networks, and sensing. They can in principle be generated deterministically by usin…
Reducing the Resources Required by ADAPT-VQE Using Coupled Exchange Operators and Improved Subroutines
Mafalda Ramôa, Panagiotis G. Anastasiou, Luis Paulo Santos +3
Adaptive variational quantum algorithms arguably offer the best prospects for quantum advantage in the Noisy Intermediate-Scale Quantum era. Since the inception of the first such a…
Minimal evolution times for fast, pulse-based state preparation in silicon spin qubits
Christopher K. Long, Nicholas J. Mayhall, Sophia E. Economou +5
Standing as one of the most significant barriers to reaching quantum advantage, state-preparation fidelities on noisy intermediate-scale quantum processors suffer from quantum-gate…
High-throughput assessment of defect-nuclear spin register controllability for quantum memory applications
Filippos Dakis, Evangelia Takou, Edwin Barnes +1
Quantum memories play a key role in facilitating tasks within quantum networks and quantum information processing, including secure communications, advanced quantum sensing, and di…
Parameterization and optimizability of pulse-level VQEs
Kyle M Sherbert, Hisham Amer, Sophia E Economou +2
In conventional variational quantum eigensolvers (VQEs), trial states are prepared by applying series of parameterized gates to a reference state, with the gate parameters being va…
Hilbert Space Fragmentation and Subspace Scar Time-Crystallinity in Driven Homogeneous Central-Spin Models
Abhishek Kumar, Rafail Frantzeskakis, Edwin Barnes
We study the stroboscopic non-equilibrium quantum dynamics of periodically kicked Hamiltonians involving homogeneous central-spin interactions. The system exhibits a strong fragmen…
Reducing measurement costs by recycling the Hessian in adaptive variational quantum algorithms
Mafalda Ramôa, Luis Paulo Santos, Nicholas J. Mayhall +2
Adaptive protocols enable the construction of more efficient state preparation circuits in variational quantum algorithms (VQAs) by utilizing data obtained from the quantum process…
Gate-free state preparation for fast variational quantum eigensolver simulations: ctrl-VQE
Oinam Romesh Meitei, Bryan T. Gard, George S. Barron +4
The variational quantum eigensolver (VQE) is currently the flagship algorithm for solving electronic structure problems on near-term quantum computers. This hybrid quantum/classica…