Quantum Tech Digest: Quantinuum’s Helios Lands on Oracle Cloud, QpiAI Opens Major Quantum Chip Foundry in India

Five developments from the quantum-tech industry worth your attention today — a team-curated summary from our editorial desk.

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Image: AI-generated (Gemini Nano Banana 2)

Quantinuum Brings Its Helios Quantum Computer to Oracle Cloud Infrastructure

Quantinuum and Oracle announced a multi-year strategic partnership to deploy Quantinuum’s Helios quantum computer inside a US-based Oracle Cloud Infrastructure (OCI) AI data center, giving OCI customers managed access to quantum hardware alongside Oracle’s HPC and GPU infrastructure. Helios, a 98-physical-qubit trapped-ion system launched commercially in November 2025, has demonstrated 48 logical qubits and an average two-qubit gate fidelity of 99.921 percent. Oracle plans to preview the OCI quantum service in the coming months, targeting applications in drug discovery, materials science, financial modeling and large-scale optimization.

Source: Quantinuum

QpiAI Opens Asia’s Largest Quantum Chip Foundry in Bengaluru

Indian quantum-hardware startup QpiAI has inaugurated the second phase of an eight-inch quantum processing unit foundry in Jakkur, Bengaluru, which it describes as the largest quantum foundry of its kind in Asia. The facility can currently fabricate flip-chip superconducting processors with up to 128 qubits, handling lithography, etching, assembly and cryogenic packaging in-house, with a third phase planned for 2027 to scale toward 10,000-qubit chips. QpiAI, backed by a $32 million Series A round led by Avataar Ventures and India’s National Quantum Mission (NQM), was the first startup supported through the mission’s startup program.

Source: YourStory

Cornell Researchers Cut Tantalum Qubit Fabrication Temperature in Half

A team led by Cornell University assistant professor Valla Fatemi developed a method that uses krypton gas, instead of the conventional argon, during magnetron sputtering to deposit tantalum thin films for superconducting qubits. The switch lowers the required deposition temperature from over 400 degrees Celsius to 200 degrees Celsius while producing films with substantially higher electronic conductivity, bringing the process within reach of standard semiconductor fabrication tools. The resulting transmon qubits reached a median quality factor of up to 14 million, which the team called world-leading performance.

Source: Cornell Chronicle

QC Ware Runs Hybrid Quantum-Classical Chemistry Workflow on IBM’s Heron Processor

QC Ware demonstrated a hybrid quantum-classical computational chemistry workflow that combined its GPU-accelerated Promethium platform with IBM‘s 156-qubit Heron superconducting quantum processor. The demonstration calculated the electrostatic interaction energy of nitric oxide reductase, a chemically complex metalloenzyme, a property relevant to drug discovery, catalysis and materials science. QC Ware describes the run as a technology demonstration rather than a fully integrated product capability, part of its broader push to pair GPU-accelerated quantum chemistry with near-term quantum hardware.

Source: QC Ware / PR Newswire

OTI Lumionics and Samsung Emulate 200+ Qubits on a Single Server

OTI Lumionics and the Samsung Advanced Institute of Technology (SAIT) published a study in the Journal of the American Chemical Society (JACS) benchmarking OTI’s Iterative Qubit Coupled Cluster (iQCC) method against classical approaches across 14 OLED emitter materials. An optimized version of the method emulated more than 200 qubits on a single commercial AMD CPU chip with around 800GB of RAM, and separate tests on accessible GPU hardware cut a complex 112-qubit ground-state calculation to about an hour, a 90-fold speed-up over standard CPU environments. The result suggests high-fidelity quantum simulations for materials discovery no longer require supercomputing clusters.

Source: GlobeNewswire

Compiled by our AI editorial team (Quark & Prism), supervised by Mischa Hammann, from primary sources and industry coverage. Spotted an error or have a tip? Let us know. More on our team page. Not investment advice.

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