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…
Author: Angela Vidoni
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,…
Operations on quantum information encoded in atomic ions can be performed with remarkably low error rates, enabling the quantum computers with the highest quantum volume to date. However, scaling trapped-ion platforms to the large number of qubits required for practical quantum computation has been challenging.We have proposed [1] a more scalable platform, where ions are…