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20082026
most citedA generative modeling approach for benchmarking and training shallow quantum circuits

377 citations · 2.5k across the 36 of their papers we have counts for

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Showing 2022Show all

7 papers · 1 filter

quant-ph2022★ 2 cited

Qubit seriation: Improving data-model alignment using spectral ordering

Atithi Acharya, Manuel Rudolph, Jing Chen +2

With the advent of quantum and quantum-inspired machine learning, adapting the structure of learning models to match the structure of target datasets has been shown to be crucial f…

quant-ph2022★ 15 cited

Symmetric Tensor Networks for Generative Modeling and Constrained Combinatorial Optimization

Javier Lopez-Piqueres, Jing Chen, Alejandro Perdomo-Ortiz

Constrained combinatorial optimization problems abound in industry, from portfolio optimization to logistics. One of the major roadblocks in solving these problems is the presence…

quant-ph2022★ 9 cited

Decomposition of Matrix Product States into Shallow Quantum Circuits

Manuel S. Rudolph, Jing Chen, Jacob Miller +2

The rapid pace of recent advancements in numerical computation, notably the rise of GPU and TPU hardware accelerators, have allowed tensor network (TN) algorithms to scale to even…

quant-ph2022★ 65 cited

Synergy Between Quantum Circuits and Tensor Networks: Short-cutting the Race to Practical Quantum Advantage

Manuel S. Rudolph, Jacob Miller, Danial Motlagh +3

While recent breakthroughs have proven the ability of noisy intermediate-scale quantum (NISQ) devices to achieve quantum advantage in classically-intractable sampling tasks, the us…

quant-ph2022★ 4 cited

Do Quantum Circuit Born Machines Generalize?

Kaitlin Gili, Mohamed Hibat-Allah, Marta Mauri +2

In recent proposals of quantum circuit models for generative tasks, the discussion about their performance has been limited to their ability to reproduce a known target distributio…

quant-ph2022★ 15 cited

Neural network enhanced measurement efficiency for molecular groundstates

Dmitri Iouchtchenko, Jérôme F. Gonthier, Alejandro Perdomo-Ortiz +1

It is believed that one of the first useful applications for a quantum computer will be the preparation of groundstates of molecular Hamiltonians. A crucial task involving state pr…

cs.LG2022★ 6 cited

Generalization Metrics for Practical Quantum Advantage in Generative Models

Kaitlin Gili, Marta Mauri, Alejandro Perdomo-Ortiz

As the quantum computing community gravitates towards understanding the practical benefits of quantum computers, having a clear definition and evaluation scheme for assessing pract…