Mwezi Koni, Shawal Kassim, Paola C. Obando, Neelan Gounden, Isaac Nape • Published: 2025-09-26
We introduce a variational quantum computing approach for reconstructing
quantum states from measurement data. By mapping the reconstruction cost
function onto an Ising model, the problem can be solved using a variational
eigensolver on present-day quantum hardware. As a proof of concept, we
demonstrate the method on quantum structured light, in particular, entangled
photons carrying orbital angul...
Emmanouil Giortamis, Francisco Romão, Nathaniel Tornow, Dmitry Lugovoy, Pramod Bhatotia • Published: 2024-08-08
We describe Qonductor, a cloud orchestrator for hybrid quantum-classical
applications that run on heterogeneous hybrid resources. Qonductor abstracts
away the complexity of hybrid programming and resource management by exposing
the Qonductor API, a high-level and hardware-agnostic API. The resource
estimator strategically balances quantum and classical resources to mitigate
resource contention and...
Etienne Granet, Sheng-Hsuan Lin, Kevin Hémery, Reza Hagshenas, Pablo Andres-Martinez, David T. Stephen, Anthony Ransford, Jake Arkinstall, M. S. Allman, Pete Campora, Samuel F. Cooper, Robert D. Delaney, Joan M. Dreiling, Brian Estey, Caroline Figgatt, Cameron Foltz, John P. Gaebler, Alex Hall, Ali Husain, Akhil Isanaka, Colin J. Kennedy, Nikhil Kotibhaskar, Michael Mills, Alistair R. Milne, Annie J. Park, Adam P. Reed, Brian Neyenhuis, Justin G. Bohnet, Michael Foss-Feig, Andrew C. Potter, Ramil Nigmatullin, Mohsin Iqbal, Henrik Dreyer • Published: 2025-11-03
The Fermi-Hubbard model is the starting point for the simulation of many
strongly correlated materials, including high-temperature superconductors,
whose modelling is a key motivation for the construction of quantum simulation
and computing devices. However, the detection of superconducting pairing
correlations has so far remained out of reach, both because of their
off-diagonal character-which ma...
Surabhi Luthra, Alexandra E. Moylett, Dan E. Browne, Earl T. Campbell • Published: 2025-05-15
As quantum computing progresses towards the early fault-tolerant regime,
quantum error correction will play a crucial role in protecting qubits and
enabling logical Clifford operations. However, the number of logical qubits
will initially remain limited, posing challenges for resource-intensive tasks
like magic state distillation. It is therefore essential to develop efficient
methods for implemen...
Charles Yuan • Published: 2025-11-03
Quantum algorithms for computational linear algebra promise up to exponential
speedups for applications such as simulation and regression, making them prime
candidates for hardware realization. But these algorithms execute in a model
that cannot efficiently store matrices in memory like a classical algorithm
does, instead requiring developers to implement complex expressions for matrix
arithmetic ...
Yue Heng Liu, Qi Li • Published: 2023-10-17
The challenge in building high-fidelity quantum gates lies in overcoming
control errors and decoherence effects caused by the coupling between the
quantum system and the external environment. Nonadiabatic holonomic quantum
computation uses the topological protection of the cyclic evolution of the
computational subspace to make holonomic gates highly robust to control errors.
Therefore, our main go...
Adrian Harkness, Hamidreza Validi, Ramin Fakhimi, Illya V. Hicks, Tamás Terlaky, Luis F. Zuluaga • Published: 2025-11-02
Quantum computing offers significant potential for solving NP-hard
combinatorial (optimization) problems that are beyond the reach of classical
computers. One way to tap into this potential is by reformulating combinatorial
problems as a quadratic unconstrained binary optimization (QUBO) problem. The
solution of the QUBO reformulation can then be addressed using adiabatic
quantum computing devices...
Tyler Christeson, Amin Khodaei, Rui Fan • Published: 2025-11-01
The power grid is the foundation of modern society, however extreme weather
events have increasingly caused widespread outages. Enhancing grid resilience
is therefore critical to maintaining secure and reliable operations. In
disaster relief and restoration, vehicle-to-grid (V2G) technology allows
electric vehicles (EVs) to serve as mobile energy resources by discharging to
support critical loads ...
Zong-Gang Mou, Bipasha Chakraborty • Published: 2025-10-31
In the Hamiltonian formulation, Quantum Field Theory calculations scale
exponentially with spatial volume, making real-time simulations intractable on
classical computers and motivating quantum computation approaches. In
Hamiltonian quantisation, bosonic fields introduce the additional challenge of
an infinite-dimensional Hilbert space. We present a scalable quantum algorithm
for Quantum Electrody...
Ebrahim Khaleghian, Arash Fath Lipaei, Abolfazl Bahrampour, Morteza Nikaeen, Alireza Bahrampour • Published: 2024-12-08
In this paper, we introduce a neural network to generate optimal control
pulses for general single-qubit quantum logic gates, within a Nuclear Magnetic
Resonance (NMR) quantum computer. By utilizing a neural network, we can
efficiently implement any single-qubit quantum logic gates within a reasonable
time scale. The network is trained by control pulses generated by the GRAPE
algorithm, all starti...