University of Innsbruck is hiring:
University Assistant (Postdoc) in Theoretical Physics

University of Innsbruck is hiring:
University Assistant (Postdoc) in Theoretical Physics
Novel sweep algorithm reduces dynamical expectation value estimation errors 2-3 orders of magnitude by jointly optimizing state and observable approximations, advancing quantum simulation efficiency.
Researchers demonstrate quantum mechanics is essential—not supplemental—to modeling ferroelectric and antiferroelectric phase transitions, offering more accurate and efficient simulations than classical methods.
A variational approach bridges weak and strong interaction limits for BEC dynamics in time-dependent traps, using exact ground-state profiles with zero adjustable parameters. Validated experimentally across full interaction crossover.
Demonstrates high-fidelity BEC transport on atom chips using inverse-optimized wire currents. Achieves >99.97% endpoint fidelity via 3D simulations, with surrogate models enabling rapid exploration of transport schedules at multiple atom numbers.
Fast Pulses for High-Fidelity Circularization of Interacting Rydberg atoms
Circular states in Rydberg atoms offer a promising platform for quantum computation, quantum simulation and quantum sensing.
Novel classical simulation framework reduces expectation value estimation complexity from quadratic to linear in practical scenarios via adaptive variance monitoring, achieving 47+ million-fold speedup over conservative bounds on QAOA benchmarks.
Fixed-node iteration converges to quantum ground states when initialized with correct sign structures; novel proofs reveal amplitude dependence vanishes through self-consistent iteration, clarifying foundations of classical quantum simulation.
qdmag enables efficient simulation of magnetic molecule dynamics under time-varying fields with spin-phonon coupling. This Python tool bridges theory and experiment for pulsed-field magnetometry of quantum spin systems.
Novel unitary quantum collision operator solves the unitarity problem in quantum lattice Boltzmann simulation, enabling gate-level circuit implementation for fluid dynamics with O(Δt²) accuracy matching classical BGK methods.
EBES provides a computational framework modeling quantum experiments at event-granularity without quantum theory, using discrete simulations of interference, entanglement, and delayed-choice experiments with classical local rules.
OVQRTE reduces measurement costs 1-2 orders of magnitude for quantum dynamics simulation vs existing methods. Demonstrated on 24-qubit IQM Emerald superconducting processor, enabling efficient condensed-matter applications.
Sector-memory obstruction to probe-level bath emergence in finite programmable qubit environments
Finite quantum environments can relax local probes without acting as canonical baths.
Novel Monte Carlo method for quantum simulation replaces truncation errors with evaluable statistical errors, outperforming standard TEBD approaches in entanglement-rich systems while maintaining unbiased expectation values.
New method compresses high-body operator correlations into state-relevant components for efficient quantum many-body simulation, achieving stable hierarchies on 3D lattices with substantially improved error control over standard truncation schemes.
We developed transpilation-aware GNNs to predict noisy quantum simulator runtimes, finding that post-transpilation circuit graphs substantially improve prediction accuracy—enabling better resource allocation for quantum computing.
Phasecraft and NVIDIA demonstrated 15x acceleration in quantum simulations using hardware-adaptive algorithms with NVIDIA AI infrastructure, advancing progress toward fault-tolerant quantum computing under the Wellcome Leap Q4Bio programme.
Measurement Geometry as a Resource for Certifying Network Nonlocality
Quantum networks can exhibit nonclassical correlations that cannot be explained by classical models with independent sources.
Oak Ridge, Cleveland Clinic, and IBM Demonstrate Quantum Simulations for Fusion Materials
Transmon Phase Gates Controlled by Superconducting Soliton DAC
We introduce a superconducting digital-to-analog converter (DAC) that filters control noise, provides native multiplexing, performs quantum gates in nanoseconds, and can be controlled by CMOS.