610 citations · 878 across the 11 of their papers we have counts for
12 papers
Efficient, direct compilation of SU(N) operations into SNAP & Displacement gates
Joshua Job
We present a function which connects the parameter of a previously published short sequence of selective number-dependent arbitrary phase (SNAP) and displacement gates acting on a…
Dynamics of qudit gates and effects of spectator modes on optimal control pulses
A. Barış Özgüler, Joshua A. Job
Qudit gates for high-dimensional quantum computing can be synthesized with high precision using numerical quantum optimal control techniques. Large circuits are broken down into mo…
Benchmarking variational quantum eigensolvers for the square-octagon-lattice Kitaev model
Andy C. Y. Li, M. Sohaib Alam, Thomas Iadecola +8
Quantum spin systems may offer the first opportunities for beyond-classical quantum computations of scientific interest. While general quantum simulation algorithms likely require…
Quantum simulation of theories in qudit systems
Doga Murat Kurkcuoglu, M. Sohaib Alam, Joshua Adam Job +4
We discuss the implementation of quantum algorithms for lattice theory on circuit quantum electrodynamics (cQED) system. The field is represented on qudits in a discretized f…
Systematic comparison of deep belief network training using quantum annealing vs. classical techniques
Joshua Job, Steve Adachi
In this work we revisit and expand on a 2015 study that used a D-Wave quantum annealer as a sampling engine to assist in the training of a Deep Neural Network. The original 2015 re…
Restricted Boltzmann Machines for galaxy morphology classification with a quantum annealer
João Caldeira, Joshua Job, Steven H. Adachi +2
We present the application of Restricted Boltzmann Machines (RBMs) to the task of astronomical image classification using a quantum annealer built by D-Wave Systems. Morphological…
Charged particle tracking with quantum annealing-inspired optimization
Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant +4
At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for analysis are expected to face challenges due to scaling wit…
Quantum adiabatic machine learning with zooming
Alexander Zlokapa, Alex Mott, Joshua Job +3
Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific applicat…
Test-driving 1000 qubits
Joshua Job, Daniel Lidar
Quantum computing is no longer a nascent field. Programmable quantum annealing devices with more that 1000 qubits are commercially available. How does one know that a putative quan…
Teleportation-based Fault-tolerant Quantum Computation in Multi-qubit Large Block Codes
Todd A. Brun, Yi-Cong Zheng, Kung-Chuan Hsu +2
A major goal for fault-tolerant quantum computation (FTQC) is to reduce the overhead needed for error correction. One approach is to use block codes that encode multiple qubits, wh…
Probing for quantum speedup in spin glass problems with planted solutions
Itay Hen, Joshua Job, Tameem Albash +3
The availability of quantum annealing devices with hundreds of qubits has made the experimental demonstration of a quantum speedup for optimization problems a coveted, albeit elusi…
Defining and detecting quantum speedup
Troels F. Rønnow, Zhihui Wang, Joshua Job +6
The development of small-scale digital and analog quantum devices raises the question of how to fairly assess and compare the computational power of classical and quantum devices,…