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Quantum Machine Learning is not just another AI trend. It is the collision of two revolutions: ⚛️ Quantum Computing 🧠 Artificial Intelligence QML uses qubits, superposition, entanglement and quantum circuits to rethink how machines classify, optimize, generate and learn. Key families already being explored: • QSVM / VQC / QNN for classification • Quantum K-Means & qPCA for high-dimensional data • QGAN & QBM for generative models • QAOA for optimization • Quantum RL for smarter agents • Quantum kernels for complex feature spaces But reality matters. Most QML is still trapped in the NISQ era: noisy hardware, unstable qubits, limited scale and difficult data encoding. So no, QML is not yet replacing classical AI. But the real future may not be AI vs Quantum Computing. It may be their fusion. ⚛️ 🧠 = the next frontier of intelligence. #QuantumComputing #QML #QuantumAI #ArtificialIntelligence #MachineLearning #QuantumAlgorithms #QAOA #QGAN #QSVM #AIResearch #FutureTech
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By pushing the boundaries of quantum algorithms to pursuing Richard Feynman’s dream of simulating quantum mechanics, this bridges the gap between theory and access to real-world quantum workflows. The first virtual platform offering direct cloud access to real, advanced quantum computers. Through a powerful partnership between the EPFL Center for Quantum Science and Engineering (QSE), SCITAS, and industry leader Quantinuum, researchers can now seamlessly test and refine complex quantum algorithms directly from their familiar high-performance computing (HPC) environment. By integrating Quantinuum’s ultra-clean, low-decoherence trapped-ion hardware, scientists and Master's students alike are moving past small-scale numerical simulations to gain hands-on, real-world workflow experience. actu.epfl.ch/news/epfl-launc… #EPFL #QuantumComputing #Quantinuum #SCITAS #QuantumScience #TechInnovation #QuantumAlgorithms #HPC #FutureOfTech #Switzerland #FeynmanDream #TrappedIons #Qubit #QuantumSimulation #DeepTech #Feynman #AcademicResearch #STEM #HigherEd #Supercomputing #Physics #QuantumTech
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New milestone alert! 🎉 SpinQ and @HubeiUniversity’s joint research on the Witnessed Quantum Time Evolution (WQTE) algorithm is now published in *Quantum Information Processing*. WQTE tackles key NISQ-era challenges: ✅ Single ancilla qubit only ✅ Heisenberg-limited precision ✅ Robust against noise & sampling errors ✅ Validated on real SpinQ NMR quantum computers This is what industry-academia collaboration looks like. Congrats to the entire team! #SpinQ #QuantumComputing #WQTE #NMRQuantum #QuantumAlgorithms
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Join the future of computing with hands-on quantum learning! @cdacindia Bengaluru, along with @iit__mandi, @svnit Surat, Pantech-Solutions, DigiToad Technologies & Qclairvoyance, presents the FDP on “Principles and Applications of Quantum Computing” 🧑‍💻⚛️ Date: 08–18 June 2026 | Mode: Online Fees: Students ₹500 | Faculty ₹1000 | Industry ₹1500 Register by: 05 June 2026 Hands-on sessions with #Qniverse — design quantum circuits, explore algorithms, noisy simulations, error correction & access quantum hardware accelerators in one platform. #QuantumComputing #QuantumLearning #FutureTech #OnlineLearning #QuantumAlgorithms #QuantumSimulation
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JIJ R&D:Ryo Sakai and Yu Yamashiro(@ywyamashiro) have published a new paper on arXiv. The study proposes a method to learn hardware-specific noise from quantum processor measurements, supporting more realistic evaluation of quantum algorithms. 🔗 Paper :arxiv.org/abs/2604.20804 #JIJ #QuantumComputing #QuantumHardware #QuantumAlgorithms #Paper #Research
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【論文公開のお知らせ📝】 R&Dチームの坂井涼と山城悠(@ywyamashiro)による論文が arXiv に公開されました。本研究では、量子プロセッサ上の測定結果からハードウェア固有のノイズを学習する手法を提案しています。学習したノイズモデルを量子アルゴリズムのオフライン評価に活用するデモンストレーションも実施しています。 🔗 論文はこちら: arxiv.org/abs/2604.20804 #JIJ #QuantumComputing #QuantumHardware #QuantumAlgorithms #論文 #研究
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Thrilled to see Monty Yates presenting “Fluids on the #BlochSphere: #QuantumAlgorithms for Solving PDEs on #NISQ” at the @UMBC Undergraduate Research and Creative Achievement Day (URCAD)! Looking forward to seeing where this project goes 👀
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🔬 PhD Fellowship: Quantum Computing for Chemistry & Life-Science (Algorithms & Applications) 🇩🇰University of Copenhagen, Denmark The Novo Nordisk Foundation Quantum Computing Programme (NQCP) at the iconic Niels Bohr Institute is inviting applications for fully funded PhD fellowships — at the very birthplace of quantum mechanics! 📌 What's the Project About? This PhD is part of a mission-driven, full-stack quantum computing programme focused on developing fault-tolerant quantum hardware and algorithms to solve critical problems in chemistry, life-sciences, and sustainability. Priority research areas include: ✅ Model Hamiltonians for chemical systems ✅ State preparation techniques ✅ Extracting information & observables from quantum computation ✅ Noise modelling of logical quantum circuits Projects can span one or multiple areas — and candidates are encouraged to develop a project plan tailored to their own skills and interests! 👩‍🏫 Supervisors (project-dependent) ➡️ Prof. Gemma C. Solomon — gsolomon@chem.ku.dk ➡️ Dr. Nina Glaser — ngl@chem.ku.dk ➡️ Dr. Frederik Nathan — frederik.nathan@nbi.ku.dk 💰 Funding & Terms ✔️ Fully funded PhD fellowship — full-time, up to 3 years ✔️ Salary as per the Danish AC agreement (Ministry of Finance) ✔️ Access to world-class research facilities at the Niels Bohr Institute ✔️ Opportunity for an international research stay ✔️ Teaching & dissemination experience included 🎓 Who Should Apply? ➡️ Master's degree (or equivalent) in Physics, Chemistry, Computer Science, Mathematics, Materials Science, Life-Science, or Medicine ➡️ Strong theoretical/computational skills and experience ➡️ Background in quantum algorithms, resource estimation, or quantum chemistry applications ➡️ Curious, motivated, and internationally minded ➡️ Open to all backgrounds — diversity is strongly encouraged! ⏱️ Key Dates 📅 Application Deadline: 30 April 2026 (23:59 CET) 🗓️ Start Date: 1 October 2026 (or as soon as possible) 📎 What to Submit (PDF only): → Motivated letter of application (max. 1 page) → CV with education, experience & language skills → Certified Master's diploma & transcripts → Publication list (if available) → Reference letters (if available) 🔗 Apply & Learn More: phdscanner.com/opportunities… ⚛️ A once-in-a-generation opportunity to shape the future of quantum computing — right where quantum mechanics was born! #PhD #QuantumComputing #QuantumChemistry #LifeSciences #NielsBohrInstitute #Copenhagen #Denmark #FullyFunded #PhDOpportunity #QuantumAlgorithms #NovoNordisk #NQCP #ComputationalChemistry #QuantumPhysics #PhDFellowship
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