Classiq Technologies

Classiq, Sumitomo Corporation, and Mizuho-DL FT achieved a 95% improvement in quantum compilation for financial risk management—bringing quantum-powered finance closer to reality. Another major milestone for quantum in Japan, with more breakthroughs ahead. Thanks, Eitan Naor Shimpei Yamashita Hiroyuki “Roy” Takata, for your partnership. #QuantumComputing #Finance #Japan #Innovation #Classiq

With Big Tech accelerating quantum breakthroughs, we're on the brink of unlocking innovations that could reshape industries: 🚚 Optimized supply chains 🧪 Self-healing materials 🪫 Ultra-efficient batteries 💊 Faster drug discovery 🪪 Post-quantum cybersecurity The timeline for fully fault-tolerant quantum computing is still a few years away, but the economic and technological impact is already taking shape. Companies that prepare now will lead the next wave of quantum-driven innovation. Read more from Katherine Tangalakis-Lippert in Business Insider. #QuantumComputing #BigTech #EnterpriseTech #QuantumTech

Hybrid quantum algorithms are prominent in the quantum computing world, and extensive research has focused on hybrid schemes to harness the power of quantum computers. Notable examples include QAOA, VQE, QNN, and more. At their core, hybrid algorithms involve an iterative process alternating between classical and quantum computation, where the latter is manifested in the form of sampling quantum circuits, yielding measured state counts.⁣⁣ At Classiq, we provide a method for designing, debugging and executing hybrid algorithms that is both straightforward and efficient. Our Python SDK features the 𝘌𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯𝘚𝘦𝘴𝘴𝘪𝘰𝘯 class, which enables the execution (both on simulators and real hardware) of a complex hybrid algorithm on a single quantum program, typically parametrized. This approach facilitates the iterative process and allows multiple calls to execution primitives at a minimal overhead, as the execution session preserves relevant context across iterations. For instance, the quantum program is being transpiled to the target hardware just once.⁣⁣ ⁣⁣ The execution primitives currently include 𝘴𝘢𝘮𝘱𝘭𝘦, the fundamental building block of quantum computation, and 𝘦𝘴𝘵𝘪𝘮𝘢𝘵𝘦, which calculates the expectation value of a specific Hamiltonian. The 𝘦𝘴𝘵𝘪𝘮𝘢𝘵𝘦 primitive is itself a hybrid algorithm which can be implemented by a series of samples, but is included as a primitive due to its vast applicability. Additionally, on statevector simulators, the expectation value can be computed exactly without sampling, improving both execution speed and accuracy. Each primitive also has a 𝘣𝘢𝘵𝘤𝘩_ variant that allows processing multiple sets of parameters in a single job, and a 𝘴𝘶𝘣𝘮𝘪𝘵_ variant that returns the job object immediately without waiting for results.⁣⁣ ⁣⁣ Now, let’s implement something interesting! In the following little example, a parametric quantum model prepares a state with probability 1/8 for all states except the states |010> and |110>, whose probabilities are controlled via an execution parameter. The method 𝘌𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯𝘚𝘦𝘴𝘴𝘪𝘰𝘯.𝘴𝘢𝘮𝘱𝘭𝘦() is used to sample the distribution for different rotation parameter values. ⁣⁣⁣⁣

How can you transform a 24-hour hackathon project into a larger, more complex initiative? Dive into a deep follow-up analysis of the winning solution from #iQuHack, written by the talented Eason Xie! In his blog post, he shares his journey since the #MIT hackathon exploring new directions. Although it is still a work in progress, the post features engaging visualizations, insightful analysis, and a look into his future plans for the project. We’re curious—have you ever continued working on a quantum hackathon project after it ended? Tell us about it in the comments! Massachusetts Institute of Technology Nadav Ben Ami

✨ Join us for a deep dive into quantum computing! ✨ We’re excited to invite you to a technical workshop with Classiq Technologies and Alice & Bob and hosted by Le Lab Quantique and OVHcloud (Fanny Bouton)! 📅 March 26th, 9:30 AM - 12:30 PM 📍 Station F, Paris Led by Laurent Prost (Alice & Bob) and Vincent van Wingerden (Classiq), this hands-on session will cover: 🔹 End-to-end quantum computing – from high-level development to logical qubit emulation 🔹 Quantum algorithm creation with Classiq’s platform 🔹 Compilation for fault-tolerant architectures using Alice & Bob’s logical qubit emulators Whether you’re a researcher, developer, or simply curious about the future of quantum computing, this is an opportunity to explore the cutting edge! 🔗 Register now and secure your spot! https://lnkd.in/eycc5-rD #QuantumComputing #TechWorkshop #StationF Siméon Valdman Bosco d'Aligny Jonathan Amiot Alexandre Krajenbrink Kenzo Bounegta Guillaume Lerouge

We are having a busy time at the American Physical Society March Meeting with three talks and a booth! If you’re attending, don’t miss the chance to hear from our experts on quantum algorithm design and optimization: 🟢 Making Quantum Algorithms Scalable: Simplifying Quantum Expressions and Encoding in High-level Quantum Programming Thursday, March 20 | 🕘 9:00 am – 9:12 am Presenter: Lior Preminger (Classiq Technologies) 📍 Session MAR-Q36 | Room 258A (Level 2) 🟢 Visualization of Large Quantum Algorithm Implementations Thursday, March 20 | 🕟 4:24 pm – 4:36 pm Presenter: Klem Jankiewicz (Classiq) 📍 Session MAR-T36 | Room 258A (Level 2) 🟢 Optimally Delegated Diagonal and Magnitude Approximation of Single Qubit Rotations within a Quantum Circuit Friday, March 21 | 🕛 12:06 pm – 12:18 pm Presenter: Gilad Kishony (Classiq Technologies) 📍 Session MAR-X36 | Room 258A (Level 2) Come visit us at Booth #254 – Our team will be there to chat about quantum programming, scalability, and how Classiq is simplifying quantum development. Looking forward to seeing you there! 👋✨ Lior Preminger Gilad Kishony Shir Peri Lichtig Klem Jankiewicz Dr. Erik Garcell #QuantumComputing #APS #Classiq #QuantumAlgorithms #MarchMeeting2025

Constellation Research has released 'The Constellation ShortList™' of leading quantum computing software platforms! Constellation evaluates more than 20 solutions categorized in this market. including client inquiries, partner conversations, customer references, vendor selection projects, market share and internal research. https://lnkd.in/drJpQSkY Holger Mueller Constellation Research, Inc.

Quantum AI is on the horizon. While today's AI models rely on classical computing, quantum AI could supercharge model training, enhance pattern recognition and boost complex decision-making in fields like drug discovery, finance and logistics. As error correction and qubit stability improve, the potential for quantum-powered AI to solve real-world challenges grows exponentially. The companies investing in quantum AI today will be the ones leading the next wave of AI innovation. Read more from Barbara Pazur in CNET. #QuantumAI #AI #QuantumComputing #TechInnovation

The Qmod 'control' statement supports arbitrary quantum Boolean expression as its condition, much like a classical 'if' statement, only evaluated in superposition. Now, the 'control' statement is generalized to allow also an 'else' block. This makes the code more concise and readable and saves the re-computation of the condition. Here is a small example - @qfunc def main(a: Output[QNum[3]], b: Output[QNum]): allocate(a) b |= 4 hadamard_transform(a) control( a < 3, lambda :inplace_add(2, b), lambda :inplace_add(-2, b) ) Synthesizing and executing this code shows how variable 'a' is entangled with variable 'b', such that whenever 'a' is sampled with values in 0..2 b is sampled with the value 6; otherwise, the value 2 is sampled for b. Try it out, and let us know what you think! View the Quantum Program: https://lnkd.in/dPn_ggAb