Rigetti Computing Reports Q2 2026 Financial Results: Revenue Up 185% YoY, $100M CHIPS Act LOI, and HPE Supercomputing Partnership

quantumcomputingreport.com Aug 8, 2026

Rigetti Computing Reports Q2 2026 Financial Results: Revenue Up 185% YoY, $100M CHIPS Act LOI, and HPE Supercomputing Partnership

Curated by Shubham · TechCapsules · Aug 8, 2026

AI-summarised brief · reviewed before publication

Rigetti Computing reported Q2 2026 results, with revenue rising 185% YoY to $5.14 million, driven by on‑premises system shipments and Novera QPU sales. Operating expenses increased to $30.25 million, reflecting higher R&D and infrastructure costs, while the company posted a $28.06 million operating loss and a $52.61 million net loss. Cash and investments stood at $541.3 million, giving a multi‑year runway. The firm secured a $100 million CHIPS Act LOI and partnered with HPE for HPC deployments.

💡 Why It Matters

· The CHIPS Act funding signals strong U.S.
· government confidence in quantum hardware, positioning Rigetti to accelerate domestic manufacturing and scale its modular processors.
· The HPE partnership expands quantum access within high‑performance computing, potentially reshaping computational research and industry adoption.

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Discovered Materials is playing AI whack-a-mole to hunt cooler chips

Discovered Materials, a Y Combinator-backed startup, has secured $9 million in seed funding from Lightspeed India Partners, Peak XV, and angel investors including Paul Graham. The company employs swarms of AI agents to identify novel semiconductor materials that improve thermal efficiency, addressing the excessive heat generated by AI workloads. Founders Advaith Sridhar and Akash Ramdas utilize Anthropic models and custom physics simulations to generate thousands of material candidates daily, a significant increase from traditional manual research methods. They have released a “Material Discovery Bench” and hundreds of new material examples. While competitors like MatNex and SandboxAQ operate in this space, Discovered Materials focuses specifically on thermal challenges. The startup aims to patent and license these materials to chipmakers within a year. Despite AI’s potential, commercial deployment remains rare, with synthesis and validation serving as primary bottlenecks. The founders emphasize their ability to rapidly experiment in wet labs to verify candidates, distinguishing their approach from purely computational efforts.

💡 By targeting the specific thermal inefficiencies of AI chips, this startup addresses a critical infrastructure bottleneck that limits data center scalability and energy consumption. Its hybrid approach of combining high-throughput AI simulation with rapid physical validation offers a pragmatic path to commercializing new materials, moving beyond theoretical discoveries to tangible engineering solutions.

riauone.com · Aug 10

Multibeam Appoints Interim CFO Following $200M Funding Milestone

Multibeam Corporation has appointed David J. Lam as Interim Chief Financial Officer to strengthen its executive leadership team. Lam, a 25-year finance veteran, previously assisted the company in securing $50 million in Series B financing and $15 million in venture debt. He also helped execute a Letter of Intent with the U.S. Department of Commerce for up to $140 million to support advanced integration processes. This appointment coincides with Multibeam reaching a strategic funding milestone of up to $205 million. Lam will continue serving on the Board of Directors. The move supports the company’s next phase of growth, which includes launching the MBX multi-column direct-write electron beam lithography system and expanding its Silicon Valley headquarters. Multibeam President Ken MacWilliams stated that strong financial leadership is essential for executing their long-term vision amid expanded customer momentum and growing manufacturing capabilities. Lam aims to strengthen financial operations to support commercialization.

💡 Securing $205 million in funding validates the commercial viability of direct-write lithography as a critical alternative for next-generation chip manufacturing. This capital infusion allows Multibeam to scale production rapidly, directly addressing semiconductor supply chain bottlenecks without relying solely on traditional photolithography infrastructure.

techcrunch.com · Aug 9

Embattled hedge fund Situational Awareness invests $400M in chip startup Source Foundry

AI-focused hedge fund Situational Awareness has invested $400 million into Source Foundry, a startup founded by Stanford researchers dedicated to accelerating and reducing the cost of chip manufacturing. This latest injection brings the fund’s total commitment to Source Foundry to $500 million. The investment occurs despite significant recent turmoil for Situational Awareness, which saw its assets under management drop from $20 billion to $10 billion. Founder Leopold Aschenbrenner, a former OpenAI researcher who launched the fund in 2024 without prior trading experience, recently sold the majority of its public portfolio to Citadel amid declining AI infrastructure stocks. However, the fund retained its Anthropic shares. Aschenbrenner’s aggressive betting strategy continues even as the fund navigates steep losses and substantial portfolio restructuring, demonstrating a persistent focus on private AI infrastructure opportunities despite broader market headwinds affecting its public holdings.

💡 The move underscores a strategic pivot toward private equity in semiconductor innovation, bypassing the volatility plaguing public AI stocks. By backing foundational manufacturing technology, the fund bets on supply chain efficiency as the next critical bottleneck for artificial intelligence growth.

techcrunch.com · Aug 9

TechCrunch Mobility: Zoox prepares for launch and Uber’s AV empire

Amazon-owned Zoox will commence commercial robotaxi operations on August 10, following a National Highway Traffic Safety Administration exemption permitting up to 2,500 steering-wheel-less vehicles. This regulatory approval allows Zoox to charge for rides in Las Vegas, San Francisco, Miami, and Austin, marking a critical shift from demonstration to revenue-generating service. The exemption sets a precedent for other autonomous developers, notably Tesla, whose Cybercab also lacks traditional controls. Meanwhile, Uber CEO Dara Khosrowshahi confirmed a $10 billion commitment to deploy 120,000 driverless vehicles over coming years, reinforcing its extensive autonomous vehicle partnerships. Additionally, Moove, a Dubai-based fleet operator valued at $2.1 billion, raised $250 million to scale its autonomous vehicle management business. The company plans to hire 350 employees and purchase Waymo robotaxis. Other notable developments include Accell Group’s insolvency process, while Advanced Electric Machines Group and Chargepoly secured funding for electric motor and fleet electrification technologies, respectively.

💡 The NHTSA exemption dismantles federal design barriers for steering-wheel-less vehicles, directly enabling Tesla’s Cybercab and similar designs to enter commercial service without retrofitting traditional controls. Uber’s confirmed $10 billion capital commitment signals a decisive industry pivot from experimental partnerships to large-scale, proprietary autonomous fleet deployment.

quantumcomputingreport.com · Aug 8

UCLA-Led Consortium Secures $4 Million NSF Grant for 60 Logical Qubit Trapped-Ion…

The National Science Foundation has awarded a $4 million grant to a UCLA‑led consortium under its Quantum Virtual Laboratory initiative. The project, named FTL: Accelerating Fault‑Tolerant Quantum Logic, will develop a trapped‑ion quantum charge‑coupled‑device architecture capable of delivering 60 logical, error‑protected qubits. By integrating an on‑chip photonic surface ion trap with control electronics and optimizing hardware, compilers and error‑correction protocols, the team aims to cut the physical‑to‑logical qubit overhead that has limited scalability. Principal investigator Eric Hudson and co‑leaders Jens Palsberg and Wesley Campbell will coordinate efforts across UCLA, UC Berkeley, Cornell, Maryland, UC Santa Barbara, Georgia Tech Research Institute, SRI International, Quantinuum, Nvidia, Daylight Solutions and IonQ. The system targets quantum simulation of many‑body problems, a pathway toward quantum advantage.

💡 Demonstrating 60 logical qubits in a trapped‑ion platform would provide the first scalable blueprint for fault‑tolerant quantum simulators, accelerating the transition from laboratory prototypes to applications in chemistry and materials design.

quantumcomputingreport.com · Aug 8

Honda Invests in Japanese Quantum Algorithm Startup Quemix

Honda Motor Co., Ltd. has invested in Quemix Inc., a Tokyo-based quantum software startup and subsidiary of TerraSky Co., Ltd. The funding comes through Honda Xcelerator Ventures, Honda’s global open innovation initiative. This investment accelerates the practical deployment of quantum computing for next-generation materials development. It builds on a successful research partnership. In May 2025, the companies jointly developed a novel quantum state readout technique. In June 2026, they created a breakthrough algorithm to exponentially accelerate Density Functional Theory calculations. Quemix plans to transition quantum methods from experimental research into practical automotive materials development. The primary focus is accelerating next-generation battery materials to support Honda’s carbon neutrality goal by 2050. Established in 2019, Quemix specializes in fault-tolerant quantum computing algorithms. The company holds patents for Probabilistic Imaginary-Time Evolution, a quantum chemistry calculation method with mathematically proven acceleration. Quemix targets full commercial applicability in materials simulation by 2030. Honda’s equity stake deepens technical alignment, moving beyond exploratory joint research toward integrating domain-specific quantum software directly into industrial materials development workflows for electrochemistry and battery simulation.

💡 Honda’s equity stake marks a definitive pivot from theoretical collaboration to industrial integration, embedding quantum algorithms directly into automotive supply chains. This move validates fault-tolerant quantum software as a viable tool for accelerating battery material discovery, bypassing traditional computational bottlenecks.