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Quantum computing: Hybrid systems will drive future - SiliconANGLE

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Kipu Quantum Launches Hybrid Framework to Enable Offline Inference for Quantum Machine Learning Kipu Quantum has released an off-line Digitized Quantum Feature Extraction (DQFE) pipeline that allows quantum-enhanced machine learning models to execute inference operations entirely on classical hardware. The architecture separates the quantum and classical processing loops, restricting quantum processor utilization to an initial, specialized training stage. By eliminating real-time Quantum Processing Unit (QPU) dependencies during active inference loops, the framework removes operational bottlenecks such as multi-user cloud queue latency and continuous hardware access costs. The system has been validated on IBM Quantum hardware, including the 156-qubit IBM Quantum Heron r2 processor, across multiple high-volume enterprise analytics use cases. Technical Architecture &amp; Specifications / Operational Implementation The DQFE pipeline functions by processing a representative, stratified subsample—typically 20%—of the primary classical training dataset on physical superconducting quantum processors. The hardware encodes these input vectors into a spin-glass Hamiltonian using a digitized counterdiabatic driving protocol to map non-linear data multi-correlations into high-dimensional Hilbert spaces. Once these highly expressive quantum feature representations are extracted, they are transferred into a lightweight classical surrogate model trained via regularized Ridge regression. This surrogate model acts as a mathematical proxy, learning to reproduce the quantum feature mapping directly from raw classical inputs using a single matrix multiplication. The resulting production model executes with microsecond inference latency, integrates with standard MLOps pipelines, and bypasses live quantum execution overhead. Strategic Positioning &amp; Ecosystem Integration The off-line framework is integrated into Kipu Quantum’s commercial Rimay product suite, accessible via the company

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Kipu Quantum Launches Hybrid Framework to Enable Offline Inference for Quantum Machine Learning

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Quantum Advantage Gains Ground in High Value Use Cases StoneX

Quantum Advantage Gains Ground in High Value Use Cases - StoneX

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Quantum Bridge Technologies Closes $8 Million Series A Funding to Scale Distributed Cryptographic Architecture Quantum Bridge Technologies Inc. (QBT) has finalized an $8 million Series A capital investment round led by Italian independent alternative asset manager Primo Capital SGR. The specialized funding round includes syndicate participation from institutional investors and venture funds including Wayra (Telefónica), Cadenza VC, the Club degli Investitori angel network, HPE, and Bacchus Venture Capital. When paired with prior capitalization rounds backed by entities such as Alumni Ventures and the University of Toronto, the closing of the Series A transaction brings the company’s total aggregate financing to $16 million USD. The private equity injection is allocated to expand engineering capacity and scale the deployment of quantum-safe network defense platforms across international banking, telecommunications, government, and sovereign military sectors. Technical Architecture &amp; Specifications / Operational Implementation The foundation of QBT’s product suite is its patented Distributed Symmetric Key Establishment (DSKE) protocol, a security mechanism designed to maintain information-theoretic security (ITS) across public and private communication channels. DSKE establishes a decentralized cryptographic footprint that generates, distributes, and rotates symmetric keys without relying on asymmetric public-key infrastructure (PKI) or vulnerable mathematical complexity assumptions. By utilizing multi-party threshold secret-sharing schemes across distributed network security hubs, the system eliminates single points of failure and prevents statistical intercept exploitation. The platform is engineered for cryptographic agility, exposing REST APIs that interface with existing legacy infrastructure layers ranging from Layer 1 optical hardware encryptors up to Layer 7 application-level software stacks, allowing multi-vendor multi-hop key relays without necessitating

Quantum Bridge Technologies Closes $8 Million Series A Funding to Scale Distributed Cryptographic Architecture

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Italtel and Quantum Bridge Technologies Form Strategic International Post-Quantum Security Partnership Italtel, an Italian multinational system integrator, has entered into a strategic international partnership with Canadian cybersecurity developer Quantum Bridge Technologies Inc. (QBT). Formally established at the Embassy of Canada in Rome, the joint initiative focuses on the commercial deployment of quantum-safe network architectures to secure sensitive communication systems against advanced cryptanalytic threats. The collaboration combines Italtel’s long-standing infrastructure engineering capabilities across the European telecommunications, banking, and public utility vertical markets with QBT’s specialized cryptographic software portfolio. Backed by the Trade Commissioner Service under the Government of Canada’s National Quantum Strategy, the agreement outlines a unified go-to-market framework encompassing joint technical co-innovation, product evaluation hosting, and the deployment of production-grade implementations. Technical Architecture &amp; Specifications / Operational Implementation The technical deployment focuses on integrating QBT’s patented Distributed Symmetric Key Establishment (DSKE) technology directly into legacy and next-generation multi-vendor wide area network (WAN) and local area network (LAN) architectures. DSKE bypasses traditional public-key infrastructures (PKI) by utilizing symmetric cryptography, secret sharing, and distributed entropy pools to generate pre-shared random data across decentralized cryptographic security hubs. The resulting architecture establishes a hardware-agnostic, defense-in-depth security model that enforces cryptographic agility—enabling network operators to seamlessly update and substitute active cryptographic primitives without replacing physical routing components. Operational implementation targets the secure high-throughput interconnection of geographically distributed data centers, providing mathematical au

Italtel and Quantum Bridge Technologies Form Strategic International Post-Quantum Security Partnership

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Decart secured $300m in a new funding round led by Radical Ventures and Jordan Jacobs, bringing the company’s total funding to over $450m.

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Quantum computing: Hybrid systems will drive future - SiliconANGLE

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Kipu Quantum Launches Hybrid Framework to Enable Offline Inference for Quantum Machine Learning

Quantum Advantage Gains Ground in High Value Use Cases - StoneX

Latest News

Quantum computing: Hybrid systems will drive future - SiliconANGLE

Kipu Quantum Launches Hybrid Framework to Enable Offline Inference for Quantum Machine Learning

Quantum Advantage Gains Ground in High Value Use Cases - StoneX

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