MIT Bengaluru Launches Quantum-Hub@MAHE With 25-Qubit System

thequantuminsider.com Oct 15, 2026

MIT Bengaluru Launches Quantum-Hub@MAHE With 25-Qubit System

Curated by Shubham · TechCapsules · Oct 15, 2026

AI-summarised brief · reviewed before publication

Manipal Academy of Higher Education inaugurated the Manipal House of Quantum (Quantum‑Hub@MAHE) at MIT Bengaluru, launching a 25‑qubit open‑architecture dilution refrigeration system to train students and support quantum hardware research. The hub, backed by partners QuantrolOx, Bluefors, Qblox and ConScience, aims to scale to 150‑qubit proof‑of‑concept platforms and eventually industrial systems exceeding 1,000 qubits. It plans to train 100 quantum engineers by December 2026, positioning MIT Bengaluru as a center for indigenous quantum technology development under India’s National Quantum Mission.

💡 Why It Matters

· By providing hands‑on access to advanced quantum infrastructure, the hub accelerates India’s talent pipeline and positions the country to compete in the emerging quantum economy.

Capsules Quantum Computing

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Classiq and FreeYa Mind Campus Partner on Quantum Computing in Romania

Classiq and FreeYa Mind Campus signed a commercial agreement to enhance quantum computing capabilities at the campus’s Quantum AI center in Iași, Romania. The partnership grants campus users access to Classiq’s enterprise‑grade software platform, training resources, and application‑development tools, alongside IBM Quantum System Two hardware. Classiq will establish its Romanian regional headquarters on campus, expanding education, research, and enterprise support across more than 12 partner universities and public‑sector organizations. The collaboration aims to accelerate quantum application development and strengthen Romania’s position in Europe’s quantum ecosystem.

💡 By merging advanced software with on‑site quantum hardware, the deal creates a scalable model for turning research into industry solutions, positioning Romania as a key hub for European quantum innovation.

quantumcomputingreport.com · Oct 15

SkyWater and D-Wave Extend Quantum Manufacturing Partnership Through Multi-Year Agreement

Commercial quantum computing firm D‑Wave Quantum and semiconductor foundry SkyWater Technology have signed a multi‑year agreement that extends a decade‑long partnership to develop and manufacture quantum hardware. The deal guarantees D‑Wave continued access to SkyWater’s specialized process engineering, thin‑film fabrication and semiconductor production at the Minnesota fab, which supports both its quantum‑annealing and gate‑model roadmaps. SkyWater’s capabilities have produced several generations of D‑Wave QPUs, including the Advantage2 processors. In parallel, the companies completed a proof‑of‑technology project that applied D‑Wave’s annealing algorithms to optimise SkyWater’s fab maintenance, cutting lot delays by up to 30 %. A second phase will add technician availability and complex constraints to the model. It underscores SkyWater’s commitment to serve multiple quantum vendors beyond D‑Wave in the market.

💡 The extended pact validates a reliable supply chain for commercial quantum processors, accelerating broader adoption.

thequantuminsider.com · Oct 15

Siloton Wins £8.4 Million Innovate UK Contract for Quantum Eye Imaging

Siloton, a Bristol‑based med‑tech start‑up, has been awarded an £8.4 million, two‑year Innovate UK contract to fast‑track development of its handheld GiraffeOCT retinal imaging system. The funding will support creation of both in‑clinic and at‑home versions, with clinical trials to be run at Sunderland Specialist Eye Hospital and economic analysis by the York Health Economics Consortium. Siloton expects the grant to cut the product timeline by up to two years, enable UK‑based manufacturing, and grow its staff to 16 by August 2028 across photonics, electronics and software roles. The project also underpins a planned raise of capital and the CheetahOCT device, aimed at broader retinal disease detection. The initiative aligns with the UK’s National Quantum Strategy to bring diagnostics into community care.

💡 Miniaturising OCT onto a coin‑sized chip could move eye‑care out of hospitals, directly easing the NHS’s huge retinal‑clinic backlog.

thequantuminsider.com · Oct 15

NYC Awards $29.2 million to New York University to Establish a Cutting-edge…

New York City will award New York University $29.2 million to create a quantum fabrication facility (QFab), with NYU contributing an additional $255 million for construction and a decade of operations. The partnership gives the city three seats on QFab’s advisory board and a 15 percent share of intellectual‑property proceeds from equipment funded by the municipality. QFab is slated to open in 2030 and will offer manufacturing, testing, startup incubation and workforce‑training services, aiming to support more than 100 companies and reach 35,000 New Yorkers in its first ten years. The initiative also extends lab access, certificate programs and summer workshops to CUNY students and public‑school learners, positioning the city as a hub for emerging quantum technologies and strengthening the regional innovation ecosystem.

💡 Securing a stake in QFab’s IP turns public investment into direct economic returns from a technology set to reshape computing, energy and healthcare, giving New Yorkers a share in future wealth.

quantumcomputingreport.com · Oct 15

Riverlane and NVIDIA Demonstrate Accelerated QEC Decoder Calibration Using GPU Processing

Riverlane and NVIDIA released benchmark results showing that NVIDIA H100 GPUs can accelerate the recalibration of quantum error‑correction decoders. The Local Clustering Decoder, adapted for GPU parallelism, evaluates candidate weight settings against live syndrome data, reducing surface‑code training epochs from minutes to seconds. Faster calibration compensates for qubit parameter drift such as frequency shifts and gate‑fidelity loss, improving logical error rates by several percent up to a factor of two versus uncalibrated priors. The workflow draws on optimization methods pioneered by Google Quantum AI and positions GPUs as offline learners while Riverlane’s Deltaflow handles real‑time decoding. The demonstration underscores the expanding role of heterogeneous classical hardware in the quantum control stack. The results were validated on a 127‑qubit superconducting processor.

💡 Accelerated decoder tuning shrinks the downtime between experiments, enabling tighter feedback loops that push quantum devices closer to fault‑tolerant operation.

quantumcomputingreport.com · Oct 14

Silicon Quantum Computing Traces 25-Year Roadmap to Atomic-Precision Manufacturing in Nature Nanotechnology

Silicon Quantum Computing (SQC) published a comment in Nature Nanotechnology tracing the 25‑year development of its phosphorus‑in‑silicon quantum processors. The article details how scanning tunneling microscope (STM) hydrogen lithography evolved from a manual research tool to an automated industrial process that places phosphorus atoms with 0.13‑nanometer precision at rates exceeding hundreds of thousands of qubit registers per day. Using isotopically purified 28Si and epitaxial encapsulation, the platform achieves single‑qubit gate fidelities above 99.99 % and coherence times over 30 seconds. The authors outline the remaining steps toward fault‑tolerant, industrial‑scale 3D integration with classical control electronics and cryogenic interconnects, noting the platform’s higher thermal headroom compared to superconducting circuits.

💡 The roadmap demonstrates that silicon‑based quantum processors can reach industrial production speeds while maintaining exceptional qubit performance, positioning them as a viable alternative to superconducting systems for large‑scale, cryogenically efficient quantum computing.