Quantum error correction github3/16/2023 To develop a software package using classical deep reinforcement learning to improve quantum To develop VeriFrodo, an open-source package implementing a lattice-based quantum-resistantĬryptographic algorithms in Jasmin within the To Alessandro Luongo and Armando Bellante to developĪn open-source web book collecting in an organized manner lectures notes around quantum algorithmsįor information processing, data analysis and machine learning. To Reem Larabi to add more visualization improvements to the %debug tool in Q# by expanding To Diego Ariel Wisniacki, Martin Larocca, Emiliano Manuel Fortes, Julian Matias Ruffinelli toĭevelop Krylov evolution algorithms integrated with QuTiP. Quantify Core, an open-source Python-based data acquisition and experiment control platform for quantumĬomputing and solid-state physics experiments. To the teams at Orange Quantum Systems and Qblox, to develop Interface of the ALF project, a powerful and flexible package for Quantum Monte Carlo simulations of To Jonas Schwab and the ALF collaboration, to develop To improve and extend the performance of variational quantum algorithms with error mitigation, The role of environment correlation functions through observables of the system and of multipleįor exploring loss landscapes, expressibility, entangling capacity and trainability for noisy, In particular, the grant will enable adding two new features: studying To develop an open source python package for simulating non-Markovian open quantum systems using (QASM-transpiler) that allows Scala/Java developers write native quantum/hybrid programs. To Brian Shi to build Qdot, a Scala 3 library To George Watkins, Alex Nguyen, Varun Seshadri, and Keelan Watkins to Online course on quantum computing and programming. To develop a Heisenberg-picture simulator and universal gate set for high dimensional systems. ĭefine and run variational quantum algorithms in QuTiP, leveraging quantum optimal control to Ī compiler that optimizes quantum circuits for 2-local qubit Hamiltonian simulation problems. Higher-Level Oracle Description Language (HODL), so that the compiler can interoperate with otherįrameworks/languages (OpenQASM, QIR). To promote inclusivity and inspire the next generation of quantum technologists. Inside Quantum, a new quantum technology themed podcastįocusing on the people behind the research, aimed at showcasing a diverse range of voices in order To Haoxiang Wang and Min Li, to develop a high-level API for variational quantumĪlgorithm (VQA) training with quantum error mitigation.Ĭonvolutional neural network models programmatically. To Paria Naghavi to add code, visualizations, and conceptual content to the QIR Book, to build knowledge bridges for incoming users to the ecosystem. To Tim Weaving and Alexis Ralli, to develop Symmer into a fully scalable qubit reduction toolkit for the quantum computing community. To Hong-Ye Hu, Yi-Zhuang You, and Susanne Yelin, to open-source P圜lifford, a fast and flexible Python-based Clifford + few T gates simulator. To Abdullah Khalid to write a methods focused guide to quantum error correction. high school students with the most limited access to physics and computer science knowledge. To Kaitlin Gili to conduct an outreach project called Iteration One, sparking curiosity among U.S. To Omid Khosravani to develop adaptive quantum process tomography techniques through the use of reinforcement learning. To Stefanie Muroya Lei and Christoph Kirsch, to develop develop QUARC within the Unicorn framework, a bounded model checking that verifies classical programs using the best classical and quantum algorithms. Publications, welcoming 13 people into the field, and helping to form 2 new startups and 1 new We’ve awarded microgrants to over 68 teams across 23 countries, resulting in 17+ completed or planned
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