tweedledum: A Compiler Companion for Quantum Computing

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Understanding how interacting particles approach thermal equilibrium is a major challenge of quantum simulators(1,2). Unlocking the full potential of such systems towards this goal requires flexible initial state preparation, precise time evolution and ext ...

Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. However, efficiently integrating lattice symmetries into neural representations remains a significant challenge. In th ...

Quantum computers offer an intriguing path for a paradigmatic change of computing in the natural sciences and beyond, with the potential for achieving a so-called quantum advantage - namely, a significant (in some cases exponential) speedup of numerical si ...

As computer architects continually push the limits of microarchitectural performance optimizations, securing hardware against speculative execution attacks feels like a Sisyphean task. This article explores the critical role computer architects can play in ...

Open quantum systems provide a conceptually simple setting for the exploration of collective behavior stemming from the competition between quantum effects, many-body interactions, and dissipative processes. They may display dynamics distinct from that of ...

The Joint Photographic Experts Group (JPEG) AI learning-based image coding system is an ongoing joint standardization effort between International Organization for Standardization (ISO), International Electrotechnical Commission (IEC), and International Te ...

The impressive pace of advance of quantum technology calls for robust and scalable techniques for the characterization and validation of quantum hardware. Quantum process tomography, the reconstruction of an unknown quantum channel from measurement data, r ...

We present a loosely coupled scheme for the numerical simulation of the cardiac electrofluid-structure interaction problem, whose solution is typically computationally intensive due to the need to suitably treat the coupling of the different submodels. Our ...

The numerical solution of singular eigenvalue problems is complicated by the fact that small perturbations of the coefficients may have an arbitrarily bad effect on eigenvalue accuracy. However, it has been known for a long time that such perturbations are ...

A large body of work shows that machine learning (ML) models can leak sensitive or confidential information about their training data. Recently, leakage due to distribution inference (or property inference) attacks is gaining attention. In this attack, the ...

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

Ring resonators have proven to be extremely successful for generation of temporal dissipative Kerr solitons, but their dispersion engineering is limited. We present a photonic-crystal Fabry-Perot resonator with record-high quality factors in gallium phosph ...

Combining optical gain in direct-bandgap III-V materials with tunable optical feedback offered by advanced photonic integrated circuits is key to chip-scale external-cavity lasers (ECL), offering wideband tunability along with low optical linewidths. Exter ...

Smart thermostats are increasingly popular in homes and buildings as they improve occupant comfort, lower energy use in heating and cooling systems, and reduce utility bills by automatically adjusting room temperature according to measurements of their bui ...

The application of Raman scattering in biosensing diverges significantly from its previous usage in qualitative analysis, eliminating the necessity for spectroscopy in certain cases. Here, we push the frontiers of optical biosensing by integrating a custom ...

Providing accurate and up-to-date practical tools enabling oversight of platelet-rich plasma (PRP) legislation and of the appropriate standards to be implemented for its manufacture and use in Europe is a demanding task. This is due to rapid medico-technol ...

tweedledum: A Compiler Companion for Quantum Computing

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Thermalization and criticality on an analogue-digital quantum simulator

Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations

Quantum Computing for High-Energy Physics: State of the Art and Challenges

Formal Verification for Secure Processors: A Guide for Computer Architects

Numerical simulation of long-range open quantum many-body dynamics with tree tensor networks

The JPEG AI Standard: Providing Efficient Human and Machine Visual Data Consumption

Quantum process tomography with unsupervised learning and tensor networks

A stable loosely-coupled scheme for cardiac electro-fluid-structure interaction

Singular quadratic eigenvalue problems: linearization and weak condition numbers

Distribution Inference Risks: Identifying and Mitigating Sources of Leakage

Human-machine interface for two-dimensional steering control with the auricular muscles

Soliton Generation in a Gallium Phosphide Photonic-Crystal Fabry-Perot Microresonator

Sub-kHz-Linewidth External-Cavity Laser (ECL) With Si3N4 Resonator Used as a Tunable Pump for a Kerr Frequency Comb

Efficacy of temporal and spatial abstraction for training accurate machine learning models: A case study in smart thermostats

Single-Band Raman Shift Detection for Spectroscopy-Less Optical Biosensors

Current Status of PRP Manufacturing Requirements & European Regulatory Frameworks: Practical Tools for the Appropriate Implementation of PRP Therapies in Musculoskeletal Regenerative Medicine