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From Syndromes to Computation: A General Framework for Logical Operations in Quantum Error-Correcting Codes
Hunter Nelson, Arshag Danageozian, ChunJun Cao +2
Fault-tolerant quantum computation requires error-correcting codes that not only protect quantum information but also support useful logical operations with practical physical real…
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…
High-performance gates on trapped ion qubits using counterpropagating pulse-shaped laser beams
Evangelos Piliouras, Hisham Amer, Susan M. Clark +9
Highly-localized light-matter interactions are necessary for scaling trapped-ion architectures. In hyperfine qubits, counterpropagating beams generate entangling gates by coupling…
Protocol for Efficient Generation of Fusion-Based Quantum Computing Resource States from Quantum Emitters
Nishad Manohar, Arshag Danageozian, Evangelia Takou +2
Fusion-based quantum computing (FBQC) relies on a set of small, typically photonic, resource states that are fused together through Bell state measurements. The main bottleneck of…
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…
Many-Body Entanglement in Solid-State Emitters
Emma Daggett, Christian M. Lange, Bennet Windt +23
The preparation and control of quantum states lie at the heart of quantum information science (QIS). Recent advances in solid-state quantum emitters (QEs) and nanophotonics have tr…
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…
Implementing and benchmarking dynamically corrected gates on superconducting devices using space curve quantum control
Hisham Amer, Evangelos Piliouras, Edwin Barnes +1
We use Space Curve Quantum Control (SCQC) to design, experimentally demonstrate, and benchmark dynamically corrected single-qubit gates on IBM hardware, comparing their performance…
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…
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…
Adaptive Quantum Generative Training using an Unbounded Loss Function
Kyle Sherbert, Jim Furches, Karunya Shirali +2
We propose a generative quantum learning algorithm, Rényi-ADAPT, using the Adaptive Derivative-Assembled Problem Tailored ansatz (ADAPT) framework in which the loss function to be…
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…
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…
ADAPT-QAOA with a classically inspired initial state
Vishvesha K. Sridhar, Yanzhu Chen, Bryan Gard +2
Quantum computing may provide advantage in solving classical optimization problems. One promising algorithm is the quantum approximate optimization algorithm (QAOA). There have bee…
Protocol for nearly deterministic parity projection on two photonic qubits
Chenxu Liu, Rafail Frantzeskakis, Sophia E. Economou +1
Photonic parity projection plays a significant role in photonic quantum information processing. Non-destructive parity projections normally require high-fidelity Controlled-Z gates…