8 papers
Entanglement Scaling and Problem Structure in Quantum Approximate and Adiabatic Optimization Algorithms
Georgios Arapantonis, Paraj Titum, Gregory Quiroz
Entanglement is widely regarded as a key resource underlying the power of quantum algorithms and their potential to achieve quantum advantage. With the emergence of variational qua…
Superresolution in Quantum Noise Spectroscopy via Filter Design
Joseph T. Iosue, Paraj Titum, Taohan Lin +2
Resolving signals with closely spaced frequencies is central to applications in communications, spectroscopy and sensing. Recent results have shown that quantum sensing protocols c…
Performance limits of a quantum receiver for detecting phase-modulated communication signals
William M. Watkins, Leigh Norris, Paraj Titum
Quantum sensors are an ideal candidate for detecting weak electromagnetic signals because of their exceptional sensitivity and compact form factor. In this work, we analyze the per…
Robust series linearization of nonlinear advection-diffusion equations
T. Forrest Kieffer, Jakob Cupp, John S. Van Dyke +2
We consider nonlinear partial differential equations (PDEs) for advection-diffusion processes which are augmented by an auxiliary parameter such that corresponds to lin…
Quantum Optimization with Classical Chaos
Malick A. Gaye, Omar Shehab, Paraj Titum +1
The Quantum Approximate Optimization Algorithm (QAOA) is a powerful tool in solving various combinatorial problems such as Maximum Satisfiability and Maximum Cut. Hard computationa…
Characterizing Superconducting Qubits using Averaged Circuit Eigenvalue Sampling
Tauno Palomaki, Shu Xin Wu, Noah Huffman +7
Efficient characterization of noise during quantum gate operations is an essential step to building and scaling up a quantum computer. One such protocol is averaged circuit eigenva…