5 papers
Entanglement geometry separates circuit cutting, classical hardness, and trainability
Maria Gragera Garces, Sabina DrÄgoi, Lirandë Pira
Circuit cutting promises to scale quantum computations beyond current hardware, but variational quantum advantage also requires low cutting overhead, classical hardness, and traina…
Quantum ring all-reduce: communication and privacy advantages for distributed learning
MarÃa Gragera Garcés, Lirandë Pira
Machine learning models have scaled to unprecedented sizes, making training across distributed devices the de facto standard in the field. In this work, we explore how quantum comm…
Distributed Quantum Circuit Optimisation: Evaluating Global and Local encodings
Maria Gragera Garces, Majid Haghparast
As distributed quantum architectures begin to emerge, understanding the interaction between quantum circuit optimisation and circuit partitioning becomes increasingly important. In…
On the Distortion of Partitioning Performance by Random Quantum Circuits
Maria Gragera Garces
Hypergraph partitioning is a central component of distributed quantum computing (DQC) compilers. However, due to the limited size of available quantum benchmark suites, many partit…
Distributed Quantum Error Mitigation: Global and Local ZNE encodings
Maria Gragera Garces
Errors are the primary bottleneck preventing practical quantum computing. This challenge is exacerbated in the distributed quantum computing regime, where quantum networks introduc…