Max Planck Institute of Quantum Optics

Compiling Quantum Regular Language States

State preparation compilers for quantum computers typically sit at two extremes: general-purpose routines that treat the target as an opaque amplitude vector, and bespoke constructions for a handful of well-known state families. We ask whether a compiler can instead accept simple...

Truncation uncertainties for accurate quantum simulations of lattice gauge theories

The encoding of lattice gauge theories onto quantum computers requires a discretization of the gauge field's Hilbert space on each link, which presents errors with respect to the Kogut–Susskind limit. In the electric basis, Hilbert space fragmentation has recently been shown to l...

Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studies

Abstract Infrared molecular fingerprinting of blood offers a scalable, minimally invasive window into human physiology, but limited follow-up, imbalanced cohorts, and restricted access to diverse phenotypes constrain systematic studies. Here, we introduce a conditional deep gener...

Compiling Quantum Regular Language States

Artifact for Accepted Paper #331: "Compiling Quantum Regular Language States" (OOPSLA 2026) arXiv: 2602.02698 A quantum state-preparation compiler for Regular Language States (RLS). Users describe target states via regular expressions, bitstring lists, or DFAs, and the compiler p...

Seven‐Fold Compression of Mid‐Infrared Pulses Using a Series of Titanium Dioxide Plates

ABSTRACT We demonstrate a compact approach for generating 2‐cycle mid‐infrared pulses centered at 2.038 µm using bulk TiO 2 plates for nonlinear spectral broadening and self‐compression. Starting from a passively CEP‐stable idler pulse produced by an optical parametric amplifier,...

Ultra-compact plasma photocathode in a hybrid wakefield accelerator

Abstract Plasma-based particle accelerators, realized by driving plasma waves with either an intense laser pulse or particle beam, offer accelerating fields orders of magnitude higher than conventional accelerators. This enables sources of highly relativistic electron beams with...

Efficient Auxiliary-FieldQuantum Monte Carlo UsingIsometric Tensor Hypercontraction

Abstract Auxiliary Field Quantum Monte Carlo (AFQMC) has emerged as a powerful framework for treating strongly correlated electronic systems, offering a favorable balance between computational cost and accuracy. In this paper, we present a novel AFQMC method that uses the isometr...