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The Daily Qubit and The Quantum Insider bring you today's freshly brewed quantum news and research: ⚆ Amazon Web Services (AWS) Braket has integrated Rigetti Computing's 84-qubit Ankaa-2 superconducting quantum processor into its cloud service, offering continuous availability and supporting hybrid quantum-classical tasks with improved gate operations and two-qubit fidelities. ⚆ Scientists at Algorithmiq developed a tensor network-based method for characterizing noise in quantum computers, proving effective on systems with up to 20 qubits. ⚆ Researchers from HRL Laboratories, LLC, Boeing, and Massachusetts Institute of Technology used quantum computation to stabilize cyclic ozone within fullerene cages, exploring advancements in rocket fuel efficiency. ⚆ A team at the The University of Edinburgh developed QML methods using NVIDIA's CUDA-Q platform that reduced the qubit count needed for large data set analysis and bypassed the need for QRAM. ⚆ Researchers from the University of Chicago and the Università di Trento have introduced an exact Ansatz for solving eigenstate problems in mixed fermion-boson systems. ⚆ Quantum Machines and Bluefors have expanded their partnership, integrating the QCage sample holder with Bluefors' cryogenic measurement systems to streamline hardware setup. ⚆ A team at the University of Minnesota uncovered how light, electrons, and crystal vibrations interact in materials, focusing on planar hyperbolic polaritons, which have implications for improving quantum information processing architectures. ⚆ Researchers from the National Research Council Canada / Conseil national de recherches Canada and the University of Ottawa have developed a platform for programmable photonic quantum circuits using ultrafast time-bin encoding. ⚆ The IEEE ICMLA'24 Special Session on Quantum Machine Learning will focus on advancements in quantum computing, particularly variational quantum circuits, and their applications. The session invites papers on topics such as trustworthy QML and quantum cybersecurity, with submissions due by September 5th. ⚆ In the latest episode of The New Quantum Era podcast, hosts Sebastian Hassinger and Kevin Rowe interview Jessica Pointing and discuss the challenges and opportunities of applying classical machine learning concepts to quantum systems, particularly focusing on quantum neural networks. ⚆ In a recent interview Ferdinand T., CEO of Moth Quantum, discusses his company's mission to bridge quantum computing with the creative industries. Moth Quantum is launching innovative products like the Quantum Synthesizer, to revolutionize music, gaming, and digital art through quantum technology. Don't miss a single qubit --get the latest news in quantum delivered daily from The Daily Qubit and The Quantum Insider.