A5030944975- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Photonic and Optical Devices
- Quantum and electron transport phenomena
- Optical Network Technologies
- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
- Atomic and Subatomic Physics Research
- Diamond and Carbon-based Materials Research
- Quantum many-body systems
- Mechanical and Optical Resonators
- Advanced Fiber Laser Technologies
- Quantum-Dot Cellular Automata
- Insect and Arachnid Ecology and Behavior
- Machine Learning in Materials Science
- Spectroscopy and Quantum Chemical Studies
- Ecosystem dynamics and resilience
- Advanced Fluorescence Microscopy Techniques
- Spectroscopy Techniques in Biomedical and Chemical Research
- Time Series Analysis and Forecasting
- Physics of Superconductivity and Magnetism
- Gaussian Processes and Bayesian Inference
- Random lasers and scattering media
- Molecular Junctions and Nanostructures
Boehringer Ingelheim (Germany)
2021-2024
Boehringer Ingelheim (Egypt)
2024
University of Bristol
2014-2023
Science Wares (United States)
2023
Covestro (Germany)
2023
Universität Innsbruck
2023
Alpine Quantum Technologies (Austria)
2023
Bristol Robotics Laboratory
2017-2023
Boehringer Ingelheim (Austria)
2021-2023
Boehringer Ingelheim (Canada)
2023
From bird flocks to fish schools, animal groups often seem react environmental perturbations as if of one mind. Most studies in collective behavior have aimed understand how a globally ordered state may emerge from simple behavioral rules. Less effort has been devoted understanding the origin response, namely way group whole reacts its environment. Yet, presence strong predatory pressure on group, response yield significant adaptive advantage. Here we suggest that be achieved through...
Abstract Complex-valued neural networks have many advantages over their real-valued counterparts. Conventional digital electronic computing platforms are incapable of executing truly complex-valued representations and operations. In contrast, optical that encode information in both phase magnitude can execute complex arithmetic by interference, offering significantly enhanced computational speed energy efficiency. However, to date, most demonstrations still only utilize conventional...
The ability to control multidimensional quantum systems is key for the investigation of fundamental science and development advanced technologies. Here we demonstrate a integrated photonic platform able robustly generate, analyze high-dimensional entanglement. We realize programmable bipartite entangled system with dimension up $15 \times 15$ on large-scale silicon-photonics circuit. device integrates more than 550 components single chip, including 16 identical photon-pair sources. verify...
Entanglement--one of the most delicate phenomena in nature--is an essential resource for quantum information applications. Large entangled cluster states have been predicted to enable universal computation, with required single- qubit measurements readily implemented photons. Useful large-scale systems must generate and control entanglement on-chip, where is naturally encoded photon path. Here we report a silicon photonic chip which integrates resonant-enhanced sources, filters,...
We introduce the concept of an eigenstate witness and use it to find energies quantum systems with computers.
Abstract Graphs have provided an expressive mathematical tool to model quantum-mechanical devices and systems. In particular, it has been recently discovered that graph theory can be used describe design quantum components, devices, setups systems, based on the two-dimensional lattice of parametric nonlinear optical crystals linear circuits, different standard photonic framework. Realizing such graph-theoretical hardware, however, remains extremely challenging experimentally using...
Quantum phase estimation is a fundamental subroutine in many quantum algorithms, including Shor's factorization algorithm and simulation. However, so far results have cast doubt on its practicability for near-term, non-fault tolerant, devices. Here we report experimental demonstrating that this intuition need not be true. We implement recently proposed adaptive Bayesian approach to use it simulate molecular energies Silicon photonic device. The verified well suited pre-threshold processors...
Integrated photonics has enabled much progress towards quantum technologies. Many applications, including communication, sensing, and distributed cloud computing, will require coherent photonic interconnection between separate chip-based sub-systems. Large-scale computing systems architectures may ultimately interconnects to enable scaling beyond the limits of a single wafer "multi-chip" systems. However, coherently interconnecting chips is challenging due fragility these states demanding...
Imperfections in integrated photonics manufacturing have a detrimental effect on the maximal achievable visibility interferometric architectures. These limits profound implications for further technological developments and particular quantum technologies. Active optimisation approaches, together with reconfigurable photonics, been proposed as solution to overcome this. In this paper, we demonstrate an ultra-high (>60 dB) extinction ratio silicon photonic device consisting of cascaded...
The maturation of many photonic technologies from individual components to next-generation system-level circuits will require exceptional active control complex states light.A prime example is in quantum technology: while single-photon processes are often probabilistic, it has been shown theory that rapid and adaptive feedforward operations sufficient enable scalability.Here, we use simple "off-the-shelf" optical demonstrate multiplexing-adaptive rerouting single modes-of eight "bins" a...
The efficient computation of observables beyond the total energy is a key challenge and opportunity for fault-tolerant quantum computing approaches in chemistry. Here, we consider symmetry-adapted perturbation-theory (SAPT) components interaction as prototypical example such an observable. We provide guide calculating this observable on computer while optimizing required computational resources. Specifically, present algorithm that estimates energies at first-order SAPT level with...
Animal groups represent magnificent archetypes of self-organized collective behavior. As such, they have attracted enormous interdisciplinary interest in the last years. From a mechanistic point view, animal aggregations remind physical systems particles or spins, where individual constituents interact locally, giving rise to ordering at global scale. This analogy has fostered important research, numerical and theoretical approaches from physics been applied models motion. In this paper, we...
NISQ-era quantum and GPU-accelerated classical computers.
While most work on the quantum simulation of chemistry has focused computing energy surfaces, a similarly important application requiring subtly different algorithms is computation derivatives. Almost all molecular properties can be expressed an derivative, including forces, which are essential for applications such as dynamics simulations. Here, we introduce new derivatives with significantly lower complexity than prior methods. Under cost models appropriate noisy-intermediate scale...
The phase estimation algorithm is crucial for computing the ground-state energy of a molecular electronic Hamiltonian on quantum computer. Its efficiency depends overlap between Hamiltonian’s ground state and an initial state, which tends to decay exponentially with system size. We showcase practical orbital optimization scheme alleviate this issue. Applying our method four iron-sulfur molecules, we achieve notable enhancement, up 2 orders magnitude, compared localized orbitals. Furthermore,...
Electronic structure calculations of molecular systems are among the most promising applications for fault-tolerant quantum computing (FTQC) in chemistry and drug design. However, while recent algorithmic advancements such as qubitization Tensor Hypercontraction (THC) have significantly reduced complexity calculations, they do not yet achieve computational runtimes short enough to be practical industrially relevant use cases. In this work, we introduce several advances electronic calculation...
Future quantum computers require a scalable architecture on technology-one that supports millions of high-performance components. Measurement-based protocols, using graph states, represent the state art in architectures for optical computing. Silicon photonics technology offers enormous scale and proven functionality. Here we produce encode photonic states mass-manufactured chip, four on-chip-generated photons. We programmably generate all types four-photon state, implementing basic...
Photons are natural carriers of high-dimensional quantum information, and, in principle, can benefit from higher information capacity and noise resilience. However, schemes to generate the resources required for computing have so far been lacking linear optics. Here, we show how GHZ states arbitrary dimensions numbers photons using optical circuits described by Fourier transform matrices. Combining our results with recent qudit Bell measurements, that universal be performed dimensions.