Dissipation is often seen as an adversary in quantum technologies. Yet it appears in many forms, and a growing body of work is revealing that these forms have substantially different effects on quantum information processing. In this talk, I will argue that some types of dissipation are not only beneficial but are already implicit in…
Author: Angela Vidoni
This talk asks a simple question: when does VQE admit efficient, noise-robust global optimization, and what geometric structure of the cost landscape is sufficient to make this possible? We give noise-robust, Probably Approximately Correct (PAC) guarantees of global ε-optimality for the Variational Quantum Eigensolver under explicit geometric conditions. For periodic ansatzes with bounded generators—yielding a…
Quantum phase estimation plays a central role in quantum simulation as it enables the study of spectral properties of many-body quantum systems. Most variants of the phase estimation algorithm require the application of the global unitary evolution conditioned on the state of one or more auxiliary qubits, posing a significant challenge for current quantum devices.…
Controllable, coherent many-body systems can provide insights into the fundamental properties of quantum matter, enable the realization of new quantum phases and could ultimately lead to computational systems that outperform existing computers based on classical approaches. Here we demonstrate a method for creating controlled many-body quantum matter that combines deterministically prepared, reconfigurable arrays of individually…
Advancements in quantum computing have enabled the development of small-scale quantum computers and simulators that adhere to the principles of quantum physics. Despite its rapid progress, those devices are not yet flawless and errors accumulate, posing serious challenges to their application to interesting problems. In this talk I will first address how those errors affect…
A quantum computer can be implemented with cold ions confined in a linear trap and interacting withlaser beams. Quantum gates involving any pair, triplet, or subset of ions can be realized by couplingthe ions through the collective quantized motion. In this system decoherence is negligible, and the measurement (readout of the quantum register) can be…
Quantum algorithms offer significant speedups over their classical counterparts for a variety of problems. The strongest arguments for this advantage are borne by algorithms for quantum search, quantum phase estimation, and Hamiltonian simulation, which appear as subroutines for large families of composite quantum algorithms. A number of these quantum algorithms were recently tied together by…
Quantum error correction1–4 provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, in which the logical error rate is suppressed exponentially as more qubits are added. However, this exponential suppression only occurs if the physical error rate is below a critical threshold. Here we present two below-threshold…
This talk surveys quantum machine learning from first principles to practice, with a focus on quantum neural networks (QNNs) and hybrid quantum‑classical architectures. Alexey will show how data‑encoding choices govern QNN expressivity via truncated Fourier series and motivate parallel quantum layers that are practical in the NISQ era. Asel will be further outlining an end‑to‑end…
Recent advances in superconducting qubits make them one of the most promising candidates for practical, error-corrected quantum computing. However, these devices are sensitive to their environment because of the low energy of the captured photon used to operate a quantum state and the fragility of the Cooper pair binding in the superconductor. Ambient photon backgrounds,…