225 citations · 229 across the 7 of their papers we have counts for
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Low -count preparation of nuclear eigenstates with tensor networks
Joe Gibbs, Lukasz Cincio, Chandan Sarma +2
We present an efficient protocol leveraging classical computation to support Initial State Preparation for strongly correlated fermionic systems, a critical bottleneck for fault-to…
Quantum Circuit Pre-Synthesis: Learning Local Edits to Reduce -count
Daniele Lizzio Bosco, Lukasz Cincio, Giuseppe Serra +1
Compiling quantum circuits into Clifford+ gates is a central task for fault-tolerant quantum computing using stabilizer codes. In the near term, gates will dominate the cost…
Engineering multi-mode bosonic squeezed states using Monte-Carlo optimization
Jieqiu Shao, Diego A. R. Dalvit, Lukasz Cincio +1
Bosonic systems, such as photons and ultracold atoms, have played a central role in demonstrating quantum-enhanced sensing. Quantum entanglement, through squeezed and GHZ states, e…
Learning Circuits with Infinite Tensor Networks
Joe Gibbs, Lukasz Cincio
Hamiltonian simulation on quantum computers is strongly constrained by gate counts, motivating techniques to reduce circuit depths. While tensor networks are natural competitors to…
Transmon qutrit-based simulation of spin-1 AKLT systems
Keerthi Kumaran, Faisal Alam, Norhan Eassa +5
Qutrit-based quantum circuits could help reduce the overall circuit depths, and hence the effect of noise, when the system of interest has a local dimension of three. Accessing sec…
Scalable quantum dynamics compilation via quantum machine learning
Yuxuan Zhang, Roeland Wiersema, Juan Carrasquilla +2
Quantum dynamics compilation is an important task for improving quantum simulation efficiency: It aims to synthesize multi-qubit target dynamics into a circuit consisting of as few…
Deep Circuit Compression for Quantum Dynamics via Tensor Networks
Joe Gibbs, Lukasz Cincio
Dynamic quantum simulation is a leading application for achieving quantum advantage. However, high circuit depths remain a limiting factor on near-term quantum hardware. We present…