Quantum computing stands at the precipice of technological revolution, promising
unprecedented computational capabilities to tackle some of humanity's most complex …

Circuit design for quantum machine learning remains a formidable challenge. Inspired by
the applications of tensor networks across different fields and their novel presence in the …

We propose a new method to extend the size of a quantum computation beyond the number
of physical qubits available on a single device. This is accomplished by randomly inserting …

Although near-term quantum computing devices are still limited by the quantity and quality of
qubits in the so-called NISQ era, quantum computational advantage has been …

Noisy intermediate-scale quantum (NISQ) devices are restricted by their limited number of
qubits and their short decoherence times. An approach addressing these problems is …

A restriction in the quality and quantity of available qubits presents a substantial obstacle to
the application of near-term and early fault-tolerant quantum computers in practical tasks. To …

Quantum computing has potential to provide exponential speedups over classical
computing for many important applications. However, today's quantum computers are in …

Circuit cutting, the decomposition of a quantum circuit into independent partitions, has
become a promising avenue towards experiments with larger quantum circuits in the noisy …

Our recent work (Ayral et al. in Proceedings of IEEE computer society annual symposium on
VLSI, ISVLSI, pp 138–140, 2020. https://doi. org/10.1109/ISVLSI49217. 2020.00034) …

Molecular fragmentation methods have revolutionized quantum chemistry. Here, we use a
graph-theoretically generated molecular fragmentation method, to obtain accurate and …