Quantum Zeitgeist Weekly Digest

IonQ’s claim that a 20,000-qubit machine could crack Bitcoin encryption within 26 days is a startling escalation and reignites fears about the most popular cryptocurrency and others too. This shows a central tension currently shaping quantum development: the race between building bigger machines and building useful machines. Rumours about Bitcoin’s vulnerability have circulated for years, with plenty of efforts (esp. other blockchains) to become quantum-safe. The back-and-forth continues, and we see continual flip-flopping in the news, but one thing is clear: the machines are getting bigger in both PQ and LQ (Physical and Logical Qubits). Shor’s algorithm was one of the first algorithms in the quantum algorithm zoo, and it continues to drive both the push to scale quantum and the post-quantum space, which is racing to produce quantum-safe encryption before cryptographic schemes are broken. The point isn’t whether a quantum computer can break Bitcoin, but whether that capability will arrive before viable post-quantum cryptography is widely deployed. This week, the US government finally agreed to take ownership in a number of quantum companies. Rigetti gets a $100 million CHIPS Act boost, but increasingly, the emphasis is shifting toward error correction and practical application, even with limited hardware. Rigetti is one of the smaller public companies (compare with IonQ), but it garnered $100M, as did PsiQuantum, a Goliath company with massive funding that remains private; my point is that the USA has decided that Quantum is an integral part of the economy and likely defence-adjacent. I just wish the UK and Europe would get behind their quantum companies and follow suit. Euroland (I include the UK in that) needs a good push, as Oxford Ionics was lost to IonQ, and I wonder how many have survived in the UK given that its peers are US public companies backed by a supportive government with deep pockets. IQM’s staged deployment of logical qubits at LUMI, scaling to nine by 2029, and the University of Southern California’s work improving error correction on IBM’s Heron processors, demonstrate that usable quantum computation depends on both scale and reliability from existing systems. Q-CTRL launched Fire Opal and Black Opal to streamline quantum finance applications. MemQ’s modelling of quantum teleportation shows that scaling requires optimising network architecture. Riverlane seeks to quantify with its CLOPSh benchmark that will determine which architectures deliver utility-scale quantum computing. Software and hardware interaction will define which companies succeed in building powerful systems that deliver results. 1. IBM Quantum System Two Arrives in Switzerland with Nighthawk r2 Processor IBM and Lockheed Martin have launched a quantum innovation hub at ETH Zurich, featuring Switzerland’s first IBM Quantum System Two with a 120-qubit Nighthawk r2 processor. Installed at the Swiss National Supercomputing Centre in Lugano alongside the Alps supercomputer, the system allows research across Swiss academia and industry through 2029, investigating materials science and complex problem-solving. ETH Zurich will coordinate access, offering expertise to industries, startups, and academic institutions.

The Quantum System Two has demonstrated accurate computations on quantum circuits containing 7,500 gates. Planned research includes quantum sensing for navigation and additive manufacturing of metallic alloys. This initiative cultivates a skilled quantum workforce by providing access to advanced capabilities and IBM Quantum Platform learning offerings. Read more 2. IQM to Deploy Logical Qubit Computer at Finland’s LUMI AI Factory IQM Quantum Computers will install a superconducting quantum computer at the LUMI AI Factory in Finland. The system will initially feature 150 physical qubits with early error correction, then scale to encode up to nine logical qubits by 2029 using distance 3 surface and colour codes. This staged approach allows continuous integration with existing high-performance computing infrastructure, offering a cost-effective path toward more reliable quantum calculations. By creating stable logical qubits from multiple physical qubits, IQM aims to enable complex operations and foster European expertise, opening new avenues for hybrid AI, HPC, and quantum computing research. Read more 3. IonQ Details Plan to Break Bitcoin Crypto with 20,000-Qubit System IonQ has published a blueprint showing a 20,000-physical-qubit quantum computer could compromise Bitcoin’s secp256k1 encryption in under 26 days, accelerating previous estimates from the 2030s. This analysis, based on compiling operations to error-correction primitives, combines optimized algorithms, compiler design and hardware architecture utilizing their Walking Cat system and quantum LDPC codes with error correction. It details a resource estimate of 1,457 logical qubits and 39 million Toffoli gates operating at the logical level, aligning with IonQ’s hardware roadmap for approximately 2028. VP Quantum Applications R&D, Martin Roetteler, confirms this full-stack methodology is being applied across IonQ’s roadmap, encompassing chemistry, finance, materials science and defense. IonQ shared advance copies of the research with government and industry partners before publication. This signals a shift toward concrete engineering planning. Read more 4. USC and UAM Boost Quantum Error Correction on IBM’s Heron Processors A collaboration between the University of Southern California and the Universidad Autonoma de Madrid improved quantum error correction on IBM’s Heron superconducting processors.

The team successfully scaled surface codes to anisotropic distances of (3,5) and (5,3) through a “fold-unfold” embedding strategy and a technique called dynamical decoupling, which minimizes errors arising from the processor’s physical layout. This advancement addresses the challenge of running error correction on hardware where qubit arrangement doesn’t easily fit the code’s needs. Crucially, the researchers demonstrated that this method accurately measures code performance, avoiding misleading results often seen with simpler evaluation techniques, and suggests global subthreshold scaling is attainable with further refinement of IBM’s hardware. Read more 5. Rigetti Secures $100 Million US Government Quantum Computing Investment Rigetti Computing received $100 million in funding from the U.S. Department of Commerce through the CHIPS Act, supporting advancements in superconducting quantum computing. The company’s systems achieve gate speeds of 50 to 70 nanoseconds, approximately 10,000 times faster than trapped-ion approaches and 100 times faster than neutral atom systems. This investment will fund research into scaling these systems and allow Rigetti to accelerate delivery of larger quantum computers to researchers. In return for the funding, the government will take a minority equity stake, aligning public investment with private innovation to strengthen the domestic quantum computing industry. Rigetti deployed its largest multi-chip quantum computer, Cepheus-1-108Q, utilizing twelve 9-qubit chiplets tiled together, demonstrating a progression in the company’s chiplet-based technology. Read more 6. Q-CTRL Unveils Fire Opal and Black Opal for Quantum Finance Q-CTRL launched Fire Opal and Black Opal, a platform to accelerate quantum computing adoption in finance. Fire Opal’s new integrate_monte_carlo function enables quantitative analysts to run large-scale Monte Carlo integration on quantum hardware using Python, reducing the need for quantum programming expertise and quadratically decreasing the required number of samples. This allows faster, more precise modeling for derivative pricing and risk assessment. Black Opal offers interactive skills training, bridging the gap between quantum potential and practical financial application. By reducing qubit requirements and simplifying execution, Q-CTRL aims to deliver more accurate financial simulations even with today’s hardware limitations. Read more 7. PsiQuantum Secures $100 Million for US Quantum Component Manufacturing PsiQuantum received a $100 million award from the U.S. Department of Commerce to advance domestic production of key quantum computing components. The funding, provided through the CHIPS and Science Act, will accelerate development of optical switches, single-photon detectors, and advanced packaging, elements beyond the quantum processor itself. This builds on a letter of intent signed in May 2026 and approximately $200 million invested with American suppliers in 2025. PsiQuantum’s silicon photonics platform, combined with partnerships like the one with GlobalFoundries established in 2019, aims to create a fully domestic supply chain and support the construction of utility-scale quantum computers. Read more 8. Pasqal and LG CNS Partner to Build Quantum-AI Data Centers Pasqal, a neutral-atom quantum computing firm, and LG CNS have formalized a three-year collaboration to co-develop scalable hybrid AI and quantum computing platforms. LG CNS will integrate Pasqal’s quantum hardware into its AI data center infrastructure, establishing South Korea as Pasqal’s Asia-Pacific hub. This partnership addresses growing demands for compute power in artificial intelligence, and builds on a four-year industrial partnership with LG Electronics. The companies aim to deliver AI and quantum-enabled data center solutions to international markets, focusing on practical applications for complex industrial and scientific problems that demand both quantum and classical processing capabilities. Pasqal has secured €340M in funding in March 2026 and €100M in 2023, enabling continued development of its neutral-atom qubit technology and expansion of its quantum computing offerings. Read more 9. memQ Compares Quantum Teleportation and Circuit Cutting for Scalability memQ Inc., collaborating with Argonne National Laboratory, modeled the performance of gate teleportation against circuit cutting for linking multiple quantum processors. Their simulations assessed how noise in microwave-to-optical transducers impacts the creation of entangled states, revealing that a ten-fold reduction in transducer noise would favor remote gates. The work demonstrates that neither approach is universally superior, instead showing specific conditions where each method performs optimally for generating Greenberger-Horne-Zeilinger states.

This research shifts focus from solely improving individual qubits to minimizing runtime through strategic network design, addressing the exponential scaling challenges posed by circuit cutting and informing targeted hardware development. Read more 10.

Riverlane Computing Defines CLOPSh for Quantum Processor Speed Measurement Riverlane Computing researchers developed CLOPSh, a new system-level benchmark measuring sustained quantum processor speed. This metric, Circuit Layer Operations Per Second, gauges how quickly a quantum computer can execute repeated layers of qubit operations, critical for algorithms used in error mitigation and variational methods. Unlike benchmarks focused solely on qubit count or fidelity, CLOPSh assesses the rate at which complete circuit layers are processed, mirroring how quantum computers operate in real-world, iterative workflows.

The team argues that accurately measuring speed requires a benchmark that accounts for all system costs, like LINPACK benchmarks sustained performance for classical computers, and that this is important as systems approach utility-scale experimentation. Read more More like thisQuantum Error CorrectionChalmers speeds quantum operations 1,000x, nearing fault toleranceQuantum Research NewsmemQ compares gate teleportation to circuit cutting for quantum computingQuantum HardwareXanadu and AMD speed up quantum computing with Backline linkQuantum Computing Business NewsQuandela joins Canada’s Quantum Computing Sandbox for cloud accessStay currentSee today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals. Tags: