Abstract One of the standard arguments for building a quantum computer is that we might profitably use the entanglements between qubits to simulate the correlations between electrons and thus solve a…

Abstract We will discuss experimental and theoretical progress towards large-scale error-corrected quantum computation. First, we report recent advances in quantum information processing using dynamically reconfigurable arrays of neutral atoms.  Using…

Abstract Molecules have emerged as powerful instruments for conducting precise tests of fundamental symmetries, such as the search for the electron electric dipole moment (eEDM). However, molecules are generally difficult…

Abstract Our research program investigates quantum models for the simulation, classification, and prediction of financial time series. Financial processes, such as asset prices, interest rates, and forex rates, exhibit complex…

Abstract Quantum simulation is a key near-term application of quantum computing. I will present several recent advancements in quantum simulation techniques and error mitigation. I will discuss error mitigation strategies…

Abstract Among the principal challenge facing scalability in ion trap quantum computers is the full integration of optics, digital electronics, and through-wafer vias into the trap chip. I will discuss…

Abstract Parameterized quantum circuits serve as ansätze for solving variational problems and provide a flexible paradigm for programming near-term quantum computers. Here we discuss three fundamental criteria for this paradigm…

Abstract Standard implementations of quantum error correction in atomic processors devote multiple atoms and many inter-atom gates to each robust qubit.  A co-design strategy to streamline this approach should focus…

Abstract Qiskit Functions simplify and accelerate utility-scale algorithm discovery and application development by abstracting away parts of the quantum software development workflow. In this way, Qiskit Functions free up time…

Abstract The integration of Tensor Networks into quantum computing has unlocked new possibilities, particularly for efficiently loading complex datasets onto quantum systems. In this talk, we examine the tensor-train cross…