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5 Quantum Computing Stocks Investors Should Be Watching in 2027
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5 Quantum Computing Stocks Investors Should Be Watching in 2027

For many years, quantum computing was little more than a weird, niche lab project that investors read about, but that relatively few bought into. 2026 changed that. A wave of companies went public through mergers and listings, and names most people ignored a year ago now carry market values in the billions. Some of them build actual quantum computers. Others make the lasers, chips, and security tools that those machines need. Here are five I think deserve a spot on your quantum computing stock list heading into 2027, with what each company is doing and where the trouble spots are. Image source: Getty Images. 1. Quantum Computing Quantum Computing Inc. (QUBT +0.58%) started as a small software operation, but it's a much different business now. Through a series of acquisitions, including Luminar Semiconductor, it runs its own chip manufacturing and offers foundry services for thin-film lithium niobate chips. Those chips transmit data via pulses of light rather than electricity, which increases signal speed and generates less heat. As of its last quarterly report, the company had about $1.3 billion in cash and investments on its books, which gives it some room to keep buying. The concern for investors is that most of its growth has come from those acquisitions. First-quarter revenue jumped from $39,000 to $3.7 million, a rise the company tied to its purchase of Luminar Semiconductor, and it has spent about $180 million in cash on acquisitions so far this year.  The question is how well all of these acquired businesses will fit together and whether customers will pay for the result. QUBT - Quantum Computing$6.91+$0.04 (+0.58%)NASDAQ · As of 4:00 PM ET 10/28/26Premium FeatureMoneyball Superscore45/100Key data pointsMarket capMarket cap calculated using publicly traded shares outstanding only. Does not include unlisted, private, or dual-class non-traded shares. Implied market cap may vary.$1.56BDay's range$6.72 - $6.9452wk range$6.08 - $16.79Volume42.8KAvg volum

Oct 29, 2026

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Nord Quantique Secures $10 Million DARPA Quantum Benchmarking Initiative Stage B Agreement Extensionquantum-computing

Nord Quantique Secures $10 Million DARPA Quantum Benchmarking Initiative Stage B Agreement Extension

Nord Quantique has secured a $10 million agreement extension under Stage B of the Defense Advanced Research Projects Agency (DARPA) Quantum Benchmarking Initiative (QBI), building on its earlier selection when DARPA advanced eleven teams to Stage B. The award finances ongoing engineering milestones and physical risk-mitigation prototyping for the company’s bosonic quantum error correction (QEC) architecture. DARPA’s QBI program is structured to evaluate whether emerging quantum computing hardware platforms can achieve utility-scale operational performance—defined as computational utility exceeding implementation cost—by 2033 through rigorous independent verification and validation (IV&V) metrics. Superconducting Bosonic Codes and Hardware-Level Fault-Tolerance Benchmarks Unlike conventional discrete-variable solid-state architectures that require hundreds or thousands of physical transmons to assemble a single fault-tolerant logical qubit via surface or LDPC codes, Nord Quantique employs continuous-variable bosonic codes embedded in superconducting microwave cavities. As detailed in previous technical evaluations of Nord Quantique’s GKP reservoir engineering, the architecture encodes quantum information into multiphoton states to implement active error correction directly at the physical layer, targeting an effective 1:1 physical-to-logical footprint. Under Stage B of the DARPA protocol, performers must deliver comprehensive research and development execution plans, identify dominant decoherence channels—including photon loss and phase-space diffusion—and demonstrate prototype hardware subsystems that actively reduce state preparation and measurement (SPAM) and gate error rates below fault-tolerant thresholds. DARPA QBI Program Structure and Nord Quantique Evaluation ScopeProgram StageFunding & Award ParametersTechnical Mandate & Verification MilestonesStage A (Feasibility)Awards up to $1 MillionInitial conceptual system design and theoretical derivation

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LANL and Cornell Researchers Demonstrate Extraction of Quantum Information Structures from Condensed-Matter Dynamical Simulationsquantum-computing

LANL and Cornell Researchers Demonstrate Extraction of Quantum Information Structures from Condensed-Matter Dynamical Simulations

Schematic representation of our framework. Researchers at Los Alamos National Laboratory (LANL) and Cornell University have published an analytical and numerical framework demonstrating that intermediate many-body states prepared during dynamical quantum simulations can be repurposed to interrogate quantum information metrics. In a preprint titled Dynamical quantum simulations as laboratories for quantum information, the team analyzed local-pulse protocols traditionally executed on quantum hardware to calculate retarded spin Green functions and inelastic neutron scattering dynamical structure factors. By reframing opposite local spin rotations as the encoding of a classical bit or a continuous parameter into evolving many-body states, the study tracks how quantum information propagates, reorganizes across spatial partitions, and responds to physical measurement constraints in 50-spin XX and XXX (isotropic Heisenberg) chains. Information Propagation, Representation-Readout Inversion, and Multipartite Entanglement The investigation establishes that conventional local response functions capture only a restricted projection of the underlying quantum record. As the spatial observation aperture expands from a single site (k = 1) to seven sites (k = 7), the trace distance ΔR and Holevo information χR reveal persistent multi-site correlations that remain present even when local single-spin response functions vanish. A central finding is an inversion between mathematical representation complexity and physical measurement efficiency: while the free-fermionic XX chain admits an exact, compact description via two-point fermionic covariance matrices, simple product-Pauli spin measurements recover a larger fraction of available distinguishability, Holevo information, and quantum Fisher information (QFI) in the strongly interacting XXX chain. Furthermore, the prepared dynamical states allow direct certification of evolving quantum resources, demonstrating that localized perturbati

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