All News
Stay updated with the latest quantum computing developments from around the world
India National Quantum Mission
Explore India's ₹6,003 Crore quantum initiative - 4 thematic hubs, leading startups, and latest developments
From Quantum Authors
Original reporting and analysis from QuantumNews contributors.
quantum-computingWhy IonQ Stock Popped Today
IonQ (IONQ +6.61%) stock jumped 8.6% through 3:25 p.m. ET Monday after investment bank Wedbush assumed coverage of the stock with an outperform rating, and assigned the $40 stock a $75 price target -- basically predicting a double in 12 months. Image source: Getty Images. Why Wedbush loves quantum computing Valued at $13.6 billion in market capitalization, IonQ is by this measure one of the most richly priced quantum computing stocks -- but Wedbush thinks IonQ is worth the premium. With $187 million in trailing revenue, IonQ's business is about 15x bigger than its nearest rival among the pure-play quantum computing stocks. With $2 billion in the bank, it's also the best-funded. Finally, IonQ is the only one of these pure plays on quantum computing to own its own chip foundry, SkyWater, which IonQ brought in-house last month. Over time, Wedbush thinks investors will see quantum stocks evolve from research-and-development shops solving engineering and physics problems into "efficient and scalable businesses" that earn profits and generate positive free cash flow. As this happens, IonQ's ability to manufacture its own chips in-house, to iterate rapidly and improve the design of its products, could give it an edge over smaller rivals such as Rigetti and D-Wave Quantum. ExpandNYSE: IONQIonQToday's Change(6.61%) $2.41Current Price$38.85Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$14BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$35.43 - $40.1652wk Range$25.89 - $84.64Volume23.2MAvg Vol27.2MGross Margin-2879.52% What's next for IonQ stock Just don't expect financial success to happen overnight. Despite boasting substantially more revenue than all its pure-play rivals combined, IonQ still isn't profitable, reporting $510 million in losses last year. Analysts think IonQ might earn a profit this year, but will quickly resume losin
The Motley FoolLoading...0
quantum-computingWhy D-Wave Quantum Stock Popped Today
D-Wave Quantum (QBTS +0.00%) stock soared 10.7% through 3:10 p.m. ET Monday after investment bank Wedbush assumed coverage of the stock with an outperform rating and $40 price target. Image source: Getty Images. Why Wedbush loves quantum computing Although valued at $6.7 billion in market capitalization, D-Wave is not profitable. It barely has even revenue -- just $12.4 million generated over the past 12 months. And yet, Wedbush argues today in a note covered by TheFly.com that "companies in the quantum computing market are defined by the solving of engineering and physics R&D challenges through successful execution against technology roadmap milestones," rather than by revenue and profit alone. Over time, they can expect to receive cash from government research grants and will also accumulate commercial customers. Over time... they will "transition... from cash-burning, capital-intensive, venture-style projects into efficient and scalable businesses." ExpandNASDAQ: QBTSD-Wave QuantumToday's Change(0.00%) $0.00Current Price$19.98Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$6.7BMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$18.00 - $20.1452wk Range$12.75 - $46.75Volume24.5MAvg Vol30.6MGross Margin32.92% What's next for D-Wave Quantum stock How much time will this take? Perhaps less than you think -- but also perhaps more. This year, analysts who follow D-Wave Quantum forecast the company's revenue to more than triple to $42 million. That won't be enough to make a profit; in fact, losses are forecast at $138 million in 2026 -- rising to $176 million in 2027. Over time, these losses should begin to moderate, but looking out as far as any analysts are making forecasts, the consensus is that even in 2030, D-Wave will still be losing money: $85 million. The good news is that, with $588 million in the bank, D-Wave probably
The Motley FoolLoading...0
quantum-computingImperial College London And HSBC Uses Quantum Sampling for Asset Trading
HSBC Holdings Plc. is applying a highly experimental form of quantum computing, Gaussian Boson Sampling, to the complex problem of asset clustering within statistical arbitrage portfolios. Researchers at the Blackett Laboratory and Centre for Quantum Engineering, Science and Technology (QuEST) at Imperial College London collaborated with HSBC to map data and benchmark algorithms. Simulations reveal that quantum clustering generates superior alpha during periods of high volatility, effectively isolating structural market idiosyncrasies, and establishing a quantum foundation for broader quantitative finance applications. This application, detailed in recent research, focuses on a specific, high-frequency trading strategy, seeking to exploit subtle price discrepancies within existing holdings rather than attempting broad market prediction. Gaussian Boson Sampling helps identify co-moving assets. Researchers addressed a key challenge in GBS implementation, photon loss, by applying “coherent displacement to compensate for photon loss.” The pursuit of quantum advantage is increasingly focused on heuristic approaches, particularly within specialized applications where demonstrable speedups don’t require fully fault-tolerant quantum computers. Researchers are investigating the application of Gaussian Boson Sampling (GBS) as a tool for identifying dense subgraphs, a capability with immediate relevance to financial modeling. The team mapped S&P 500 residual correlation data into adjacency matrices suitable for GBS, then benchmarked quantum clustering algorithms, GBS Boost and a novel method called GBS Roots, against established classical techniques like Spectral and SPONGE. Crucially, the researchers addressed a key challenge in photonic quantum computing: photon loss, by applying coherent displacement to compensate for photon loss. This resilience is significant, as it suggests GBS-derived solutions can remain viable even with imperfect hardware. The study highlights tha
Quantum ZeitgeistLoading...0
quantum-computingImproved Cumulants Yield Reliable Bond-Breaking Calculations
Valerii Chuiko and colleagues from McMaster University and Donostia International Physics Center (DIPC), have developed a refined reduced density matrix functional that significantly improves the simulation of chemical bond breaking in strongly correlated molecular systems. The researchers corrected the cumulant contribution within the PNOF5 functional to ensure physically accurate fragment population covariance and total spin angular momentum at the point of molecular dissociation. This refinement enables highly accurate descriptions of bond breaking in nitrogen, nitric oxide, oxygen, sulfur, and carbon monoxide, with calculated dissociation energies matching those obtained using the complete active space self-consistent field (CASSCF) method. By incorporating P, Q, and G N-representability conditions to purify the reduced density matrices, the work provides a more reliable framework for studying challenging chemical processes. Accurately simulating the breaking of chemical bonds remains one of the most demanding problems in quantum chemistry because electrons become strongly correlated as atoms separate. While reduced density matrix functional theory offers a computationally efficient alternative to conventional wavefunction-based methods, existing functionals often struggle to reproduce key physical properties during dissociation. The researchers addressed this limitation by modifying the cumulant term in the PNOF5 functional, allowing it to preserve physically meaningful fragment population covariance, also known as the delocalization index, together with the correct total spin angular momentum throughout the bond-breaking process. The improved functional was tested on several benchmark diatomic molecules, including nitrogen, nitric oxide, oxygen, sulfur, and carbon monoxide. Across these systems, the calculated dissociation curves closely matched reference CASSCF results, demonstrating that the refined approach accurately captures the electronic structure
Quantum ZeitgeistLoading...0
quantum-computingWhy Alphabet Stock Popped Today
Alphabet (GOOG +4.55%) (GOOGL +5.03%) stock jumped 5.1% through 12:55 p.m. ET Monday after analysts at Morgan Stanley reassured investors about the company's prospects amid record levels of investment in AI infrastructure. Image source: Alphabet. Alphabet Q2 earnings Alphabet reported strong earnings last week, beating expectations with profits of $9.11 per share -- triple what analysts expected. Surprisingly, Alphabet stock sold off after the report and, in fact, continued to trade below its pre-earnings price all the way through Friday. Earnings beat notwithstanding, investors were spooked by Alphabet's announcement that it was doubling down on AI spending and raising its forecast for capital investment this year to a mind-bending $195 billion to $205 billion. ExpandNASDAQ: GOOGAlphabetToday's Change(4.55%) $16.22Current Price$372.87Key Data Points*:nth-last-child(-n+2)]:border-b-0">Market Cap$4.4TMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.Day's Range$363.26 - $376.1052wk Range$190.92 - $404.47Volume17.5MAvg Vol22.3MGross Margin60.94%Dividend Yield0.24% What Morgan Stanley said about Alphabet's spending But according to Morgan Stanley -- that's OK. All four of the big AI hyperscalers are spending gobs of money on AI investment. Amazon (AMZN +4.06%) is spending even more than Alphabet -- $220 billion from $200 billion -- while Meta (META +6.18%) has a $130 billion to $145 billion budget, and Microsoft (MSFT +5.38%) is spending about $190 billion. Total cloud capital expenditure in 2027 could exceed $1.2 trillion this year, says MS. But all this investment is driving huge cloud revenue growth, with Google Cloud Platform growing 82% year over year. The best news, says the analyst, is that "strong operating cash flow, equity and debt financing, leasing strategies, custom chips, and infrastructure efficiencies are helping fund capex while easing fr
The Motley FoolLoading...0
quantum-computingCollective Electronic Entanglement Scales With O(1) Response
Vivek Yadav and colleagues from Israel Institute of Technology have demonstrated a surprising result that challenges established limits in quantum entanglement, achieving a collective electronic response that does not diminish with increasing molecular complexity. The researchers report a violation of the expected scaling of one over N in N-molecule collective strong coupling, meaning the efficiency of their system remains constant even as more molecules are added. This feat was accomplished through infrared cavity-induced vibronic transduction, a mechanism translating non-local vibrational entanglement into collective electronic entanglement. The study potentially enables room-temperature quantum technologies by overcoming a major hurdle to scalability and offers a scalable framework for coherent control of chemical reactions and advances the development of practical quantum systems. Vibronic Transduction Overcomes Ensemble Dilution Scaling The expectation that collective responses diminish with increasing molecular complexity has been challenged by new findings in vibronic transduction. Vivek Yadav and colleagues report a surprising observation: localized electronic responses scale as O(1), defying the predicted scaling of one over N typically seen in N-molecule collective strong coupling scenarios. This scale-invariance, achieved through infrared cavity-induced vibrational strong coupling, points to a process where non-local vibrational entanglement is directly converted into collective electronic entanglement. The researchers utilized fluorescence-encoded infrared spectroscopy to observe this phenomenon in molecular ensembles, demonstrating macroscopically synchronized electronic responses. The authors write that by demonstrating the generation of macroscopically entangled electronic states from vibro-polaritons without a penalty related to one over N, this work establishes a scalable framework for manipulating quantum states. This advancement is particularly si
Quantum ZeitgeistLoading...0
quantum-computingQuantum Complexity-Deformed Transport Solves Bell-State Preparation Exactly
Alberto Acevedo and Antonio Falcó of Universidad CEU Cardenal Herrera have demonstrated a new approach to quantum state preparation by altering the mathematical framework defining how states evolve. Their work deforms existing noncommutative dynamical optimal transport using what they term an “Arnold–Nielsen type complexity operator,” a concept absorbed directly into the underlying differential calculus rather than added as a penalty. This geometric shift yields an exact Bell-state preparation result, achieved through Clairaut’s relation, and an exactly computed restricted-path upper bound for GHZ preparation. The researchers prove the existence of minimizers for density-dependent Petz-class metrics in finite dimensions, even when complexity weights and state-dependent mobility do not commute. Their work identifies a new approach to constructing Wasserstein-type geometries on von Neumann algebraic state spaces and on unitary orbits, with quotient metrics induced by right-invariant complexity geometries on compact Lie groups. The researchers highlight a guiding principle: complexity changes the differential structure, impacting the dynamics of quantum systems. This geometric approach contrasts with static quantizations of the Wasserstein distance, which lack a continuity equation specific to this dynamical route; the Lindblad detailed-balance case is included only as entropy-gradient-flow background. A key finding detailed in the work is that when the resulting quadratic form remains Dirichlet, the complexity-weighted transport problem becomes equivalent to its unweighted counterpart. On unitary orbits, the induced distance is identified as a quotient metric arising from a right-invariant complexity geometry. This means complexity fundamentally reshapes the differential calculus that defines it, rather than simply being added to the calculation. This equivalence unlocks new possibilities for analyzing quantum dynamics, particularly in finite dimensions where they’ve
Quantum ZeitgeistLoading...0
Researchers Build First Fully Connected Quantum Network with Microcombs
Researchers in China have built a large-scale fully connected quantum network, meaning every user can connect to every other user simultaneously, overcoming a major scalability challenge in quantum communication. The network spans over 200 kilometers and supports 200 users while guaranteeing user-to-user security even with an untrusted network provider. This large-scale system utilizes integrated soliton microcombs to achieve precise frequency generation and locking, enabling high-visibility Hong-Ou-Mandel interferences and measurement-device-independent quantum key distribution. The implemented architecture, the researchers state, “paves the way for realizing large-scale fully connected MDI quantum networks across metropolitan and intercity regions.” Microcomb-Driven Fully Connected Network Architecture This architecture, detailed in recent findings, departs from traditional point-to-point quantum key distribution by enabling a system where each of the 200 users can establish a secure connection with any other user within the network without relying on a trusted intermediary. This eliminates a key vulnerability present in earlier designs and has substantial implications for secure communication. Central to this advancement is the utilization of ‘microcombs’, a relatively new technology in optical physics, to achieve this connectivity, offering a potentially more stable and scalable approach than previous methods. Some of the authors are affiliated with the Xi’an Institute of Optics and Precision Mechanics. These microcombs, specifically soliton microcombs (SMCs), function as compact frequency sources capable of generating hundreds of parallel frequency channels. The researchers demonstrate that by locking the seed laser frequency and repetition rate, massive parallel Hong-Ou-Mandel (HOM) interferences can be achieved between independent SMC chips. This eliminates the need for complex, wavelength-specific laser locking across the entire network, a significant hurdle
Quantum ZeitgeistLoading...0
quantum-computingPsiQuantum Invests $250,000 in South Chicago STEM and Quantum Education Programs
Insider Brief Press release – Today, PsiQuantum announced a $250,000 philanthropic investment in local schools, higher education institutions, and STEM programs to advance the next generation of scientists, engineers, and quantum innovators in South Chicago. As the anchor tenant of the Illinois Quantum and Microelectronics Park (IQMP), PsiQuantum is committed to ensuring young people in […]
Quantum DailyLoading...0
quantum-computingRigetti, HPE, and Pittsburgh Supercomputing Center Partner to Build “TangleLab” Hybrid Testbed
Rigetti, HPE, and Pittsburgh Supercomputing Center Partner to Build “TangleLab” Hybrid Testbed Quantum computing developer Rigetti Computing (Nasdaq: RGTI) has partnered with Hewlett Packard Enterprise (HPE) and the Pittsburgh Supercomputing Center (PSC)—a joint center of Carnegie Mellon University and the University of Pittsburgh—to construct TangleLab, a hybrid quantum-classical supercomputing testbed. Funded by a $5 million grant from the National Science Foundation (NSF) under its Advanced Computing Systems & Services program (Award #2537076), the facility will integrate a 9-qubit Novera™ quantum computing system with classical High-Performance Computing (HPC) and graphics processing unit (GPU) infrastructure. TangleLab expands upon Rigetti and HPE’s ongoing commercial collaboration to build quantum-enabled HPC systems. Designed to operate at PSC’s new data center, the testbed will leverage the gate speeds intrinsic to superconducting qubits (50–70 nanoseconds) to benchmark low-latency hybrid quantum-classical workflows, compiling routines, and workload orchestration across scientific research and AI applications. [ TangleLab Hybrid Architecture Stack ] │ ┌──────────────────────────────────┴──────────────────────────────────┐ ▼ ▼ Classical HPC & GPU Cluster Rigetti 9-Qubit Novera QPU • HPE High-Performance Computing Nodes. • Ankaa-Class Superconducting Architecture. • Advanced Networking & Workload Management. • 50-70ns Gate Execution Speed. • Real-Time Proposals & Hands-On Workshops. • On-Premises Cryogenic & Control Integration. Under PSC’s management, access to TangleLab will be allocated through a competitive proposal process balancing dedicated runtime for individual research projects with real-time access for university courses and educational workshops. To assist non-specialist users, the center will offer dedicated consulting, training, and onboarding programs. Construction at PSC’s new data center is scheduled to begin on September 1
Quantum Computing ReportLoading...0