New quantum method solves bosonic systems efficiently

Randomized Quantum Linear Systems Solvers Offer Potential for Shallow Circuits, Estimating Matrix Inverses Researchers demonstrate that a promising new method for solving complex equations, which uses random sampling to simplify calculations, ultimately requires so many calculations that it may not be practical for real-world applications despite its theoretical advantages in reducing computational steps. #quantum #quantumcomputing #technology https://lnkd.in/eb4fP4tk

Harvard Shows Cored Product Codes Enable Quantum Self-correction in Three Dimensions, Overcoming Challenges with 60000 Qubits Researchers have created a novel three-dimensional memory system, based on a complex, disordered code and a unique tiling pattern, that demonstrates increasing stability and longevity as its size grows, representing a significant step towards practical, self-correcting quantum memories #quantum #quantumcomputing #technology https://lnkd.in/eJr9vWse

Quantum Torus Enables Exact Generalized Gottesman-Kitaev-Preskill States, Resolving Pathologies on Compact Phase-Space Scientists have created a stable and physically realistic quantum state, resolving long-standing issues with previous designs and paving the way for more reliable photonic quantum computers by representing these states using mathematical functions naturally suited to their underlying structure. #quantum #quantumcomputing #technology https://lnkd.in/e_rkCEDZ

Excited-cafqa Initialization Improves Variational Quantum Deflation for Molecular Excited State Computation Researchers enhance the accuracy of quantum computing calculations for molecular systems by developing a method that intelligently prepares initial conditions, achieving up to 99% precision in determining both ground and excited state energies for simple molecules. #quantum #quantumcomputing #technology https://lnkd.in/eHbUby4J

Fractional Quantum Hall States Maintain Information Recovery above Critical Filling Factor, Enabling Robust Topological Computation Researchers demonstrate that information encoded in certain quantum states, crucial for building robust quantum computers, remains fully recoverable even with significant noise, offering a pathway towards practical topological computation and error correction. #quantum #quantumcomputing #technology https://lnkd.in/e4BZ3cZA

Operator Commutativity Screening and Progressive Block Reordering Enables Compact Quantum State Preparation for Variational Quantum Eigensolver Researchers have developed a new method for calculating molecular energies on quantum computers that systematically builds up the computational model, achieving high accuracy with fewer computational steps and improved stability compared to existing approaches. #quantum #quantumcomputing #technology https://lnkd.in/eRpvdw_V

Quantum Optimization with Classical Chaos Enables Effective Parameterization for Hard Maximum Satisfiability Problems Researchers have developed a new method for optimising quantum algorithms, using principles from chaotic systems, that improves performance on complex problems and offers a pathway to more efficient quantum computation. #quantum #quantumcomputing #technology https://lnkd.in/exfayd_q

Quantum Imaginary Time Evolution, Implemented Via Unitary Evolution, Efficiently Finds Hamiltonian Ground States for Computationally Hard Problems Researchers have refined a method for solving complex computational problems by simulating the behaviour of physical systems over time, creating a practical approach to finding optimal solutions using readily available hardware. #quantum #quantumcomputing #technology https://lnkd.in/eH-KjUNs

Quantum Imaginary Time Evolution, Implemented Via Unitary Evolution, Efficiently Finds Hamiltonian Ground States for Computationally Hard Problems Researchers have refined a method for solving complex computational problems by simulating the behaviour of physical systems over time, creating a practical approach to finding optimal solutions using readily available hardware. #quantum #quantumcomputing #technology https://lnkd.in/eH-KjUNs

> Sharing Resource < A paper for use-cases on Neutral Atoms QC: "Practical Use Cases of Neutral Atoms Quantum Computers" by Matteo Grotti, Sara Marzella, Gabriella Bettonte, Daniele Ottaviani, Elisa Ercolessi Abstract: Quantum computing has quickly emerged as a revolutionary paradigm that holds the potential for greatly enhanced computational capability and algorithmic efficiency, in a wide range of areas. Among the various hardware platforms, neutral atom quantum processors based on Rydberg interactions are gaining increasing interest because of their scalability, qubit-connection flexibility, and intrinsic appropriateness for solving combinatorial optimization challenges. This paper provides an overview of the present capabilities, standards, and applications of neutral atom quantum computers. We first discuss recent hardware advancements and register mapping optimization techniques that enhance circuit fidelity and performance. We next review their uses as quantum simulators, in both classical and quantum hard problems, such as MIS and QUBO problems, quantum many-body models and molecules in chemistry and pharmacology. Applications for enhancing machine learning are also covered. Link: https://lnkd.in/eANyv8V6 #quantummachinelearning #quantumcomputing #neutralatoms #benchmark #ai #research #paper