Integrating quantum computing resources into scientific HPC ecosystems
Quantum Computing (QC) offers significant potential to enhance scientific discovery in fields
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
such as quantum chemistry, optimization, and artificial intelligence. Yet QC faces challenges …
Quantum computing with Qiskit
We describe Qiskit, a software development kit for quantum information science. We discuss
the key design decisions that have shaped its development, and examine the software …
the key design decisions that have shaped its development, and examine the software …
Exploring ququart computation on a transmon using optimal control
Contemporary quantum computers encode and process quantum information in binary
qubits (d= 2). However, many architectures include higher energy levels that are left as …
qubits (d= 2). However, many architectures include higher energy levels that are left as …
dxtb—An efficient and fully differentiable framework for extended tight-binding
Automatic differentiation (AD) emerged as an integral part of machine learning, accelerating
model development by enabling gradient-based optimization without explicit analytical …
model development by enabling gradient-based optimization without explicit analytical …
Enhanced quantum state transfer and Bell-state generation over long-range multimode interconnects via superadiabatic transitionless driving
M Malekakhlagh, T Phung, D Puzzuoli, K Heya… - Physical Review …, 2024 - APS
Achieving high-fidelity direct two-qubit gates over meter-scale quantum interconnects is
challenging, in part due to the multimode nature of such systems. One alternative scheme is …
challenging, in part due to the multimode nature of such systems. One alternative scheme is …
SpacePulse: Combining Parameterized Pulses and Contextual Subspace for More Practical VQE
In this paper, we explore the integration of parameterized quantum pulses with the
contextual subspace method. The advent of parameterized quantum pulses marks a …
contextual subspace method. The advent of parameterized quantum pulses marks a …
State preparation of lattice field theories using quantum optimal control
We explore the application of quantum optimal control (QOC) techniques to state
preparation of lattice field theories on quantum computers. As a first example, we focus on …
preparation of lattice field theories on quantum computers. As a first example, we focus on …
SuperGrad: a differentiable simulator for superconducting processors
One significant advantage of superconducting processors is their extensive design flexibility,
which encompasses various types of qubits and interactions. Given the large number of …
which encompasses various types of qubits and interactions. Given the large number of …
Quantum Noise Spectroscopy of Criticality in an Atomically Thin Magnet
Dynamic critical fluctuations in magnetic materials encode important information about
magnetic ordering in the associated critical exponents. Using nitrogen-vacancy centers in …
magnetic ordering in the associated critical exponents. Using nitrogen-vacancy centers in …
Modeling error correction with Lindblad dynamics and approximate channels
We analyze the performance of a quantum error correction code subject to physically-
motivated noise modeled by a Lindblad master equation. Working within the code-capacity …
motivated noise modeled by a Lindblad master equation. Working within the code-capacity …