Quantum Computing



Quantum computing news and articles


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Quantum computing has made significant progress in recent years, with advancements in both software and hardware. However, the application of quantum computing to real world problems is currently limited due to the complexity of quantum algorithms an...


Keywords: quant, quantum comp, design, optimization
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The Canadian government is supporting Xanadu, leading company in photonic quantum computing, with 3.75 million CAD investment. The funding, provided through the Federal Economic Development Agency for Southern Ontario FedDev Ontario and the Region...


Keywords: machine learning, quant, computing, quantum
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Quantum computing is a new computational paradigm with the potential to solve certain computationally challenging problems much faster than traditional approaches. Civil engineering encompasses many computationally challenging problems, which leads to the question of how well quantum computing is suitable for solving civil engineering problems and how much impact and implications to the field of civil engineering can be expected when deploying quantum computing for solving these problems. To add...


Keywords: computing, quantum comp, quant
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The discovery of small molecules with therapeutic potential is a long-standing challenge in chemistry and biology. Researchers have increasingly leveraged novel computational techniques to streamline the drug development process to increase hit rates and reduce the costs associated with bringing a drug to market. To this end, we introduce a quantum-classical generative model that seamlessly integrates the computational power of quantum algorithms trained on a 16-qubit IBM quantum computer with t...


Keywords: generative model, generative, quantum comp,
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Blockchain and other Distributed Ledger Technologies (DLTs) have evolved significantly in the last years and their use has been suggested for numerous applications due to their ability to provide transparency, redundancy and accountability. In the case of blockchain, such characteristics are provided through public-key cryptography and hash functions. However, the fast progress of quantum computing has opened the possibility of performing attacks based on Grover's and Shor's algorithms in the ne...


Keywords: quantum comp, computing, algorithms, quant,
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As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of laminated composite materials, which to this day remains a formidable task, due to an exponentially large configuration space and non-linear constraints. The rapidly developing field of quantum computation may offer novel approaches for addressing these intricate problems. However, before applying any quantum algorithm t...


Keywords: optimization, quantum comp, design, quant
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We introduce an adaptable and modular hybrid architecture designed for fault-tolerant quantum computing. It combines quantum emitters and linear-optical entangling gates to leverage the strength of both matter-based and photonic-based approaches. A key feature of the architecture is its practicality, grounded in the utilisation of experimentally proven optical components. Our framework enables the execution of any quantum error correcting code, but in particular maintains scalability for low-den...


Keywords: scala, quantum comp, computing, quant,
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Several articles and books adequately cover quantum computing concepts, such as gate/circuit model (and Quantum Approximate Optimization Algorithm, QAOA), Adiabatic Quantum Computing (AQC), and Quantum Annealing (QA). However, they typically stop short of accessing quantum hardware and solve numerical problem instances. This tutorial offers a quick hands-on introduction to solving Quadratic Unconstrained Binary Optimization (QUBO) problems on currently available quantum computers. We cover both ...


Keywords: optimization, quantum comp, computing, tutorial,
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Correlated errors caused by ionizing radiation impacting superconducting qubit chips are problematic for quantum error correction. Such impacts generate quasiparticle (QP) excitations in the qubit electrodes, which temporarily reduce qubit coherence significantly. The many energetic phonons produced by a particle impact travel efficiently throughout the device substrate and generate quasiparticles with high probability, thus causing errors on a large fraction of the qubits in an array simultaneo...


Keywords: qubit, quant
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In the near term, quantum approximate optimization algorithms (QAOAs) hold great potential to solve combinatorial optimization problems. These are hybrid algorithms, i.e., a combination of quantum and classical algorithms. Several proof-of-concept applications of QAOAs for solving combinatorial problems, such as portfolio optimization, energy optimization in power systems, and job scheduling, have been demonstrated. However, whether QAOAs can efficiently solve optimization problems from classica...


Keywords: algorithms, optimization, quant
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Correlated errors can significantly impact the quantum error correction, which challenges the assumption that errors occur in different qubits independently in both space and time. Superconducting qubits have been found to suffer correlated errors across multiple qubits, which could be attributable to ionizing radiations and cosmic rays. Nevertheless, the direct evidence and a quantitative understanding of this relationship are currently lacking. In this work, we propose to continuously monitor ...


Keywords: qubit, quant
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We introduce a novel computational framework for excited-states molecular quantum dynamics simulations driven by quantum computing-based electronic-structure calculations. This framework leverages the fewest-switches surface-hopping method for simulating the nuclear dynamics, and calculates the required excited-state transition properties with different flavors of the quantum subspace expansion and quantum equation-of-motion algorithms. We apply our method to simulate the collision reaction betw...


Keywords: quantum comp, computing, algorithms, quant,
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Changes in the polarization of light reflecting off materials surface could indicate whether it is higher order topological insulator, say theoristsThe post Surface 8216 signature 8217 could distinguish exotic topological insulators appeared firs...


Keywords: computing, ionic, quantum comp, quant
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Terra Quantum is working with leading steel manufacturer POSCO Holdings top Asian Steel company to deploy quantum AI for optimizing steel production, specifically focusing on POSCO 8217 s advanced blast furnaces. They will demonstrate the potentia...


Keywords: neural network, quant, network, qubit
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In this work, we demonstrate a practical application of noisy intermediate-scale quantum (NISQ) algorithms to enhance subroutines in the Black-Litterman (BL) portfolio optimization model. As a proof of concept, we implement a 12-qubit example for selecting 6 assets out of a 12-asset pool. Our approach involves predicting investor views with quantum machine learning (QML) and addressing the subsequent optimization problem using the variational quantum eigensolver (VQE). The solutions obtained fro...


Keywords: optimization, algorithms, qubit, quant, machine

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