Quantum Computing Stocks List

Related ETFs - A few ETFs which own one or more of the above listed Quantum Computing stocks.

Quantum Computing Stocks Recent News

Date Stock Title
Nov 21 QBTS IBN Coverage: D-Wave (NYSE: QBTS) Completes Calibration of 4,400+ Qubit Advantage2(TM) Processor
Nov 20 LAES SEALSQ files for $100M mixed shelf offering
Nov 20 QTUM Nokia Wins Multi-Billion Dollar Deal To Power Airtel's 4G And 5G Expansion In India
Nov 20 QUBT Quantum Computing announces purchase order for TFLN Photonic Chip Foundry from University of Texas
Nov 20 QUBT Quantum Computing, Inc. Announces Second Purchase Order for TFLN Photonic Chip Foundry from University of Texas at Austin
Nov 19 IONQ Market Whales and Their Recent Bets on IONQ Options
Nov 19 LAES SEALSQ updates on minimum bid price non-compliance
Nov 19 LAES SEALSQ Updates on Minimum Bid Price Non-Compliance
Nov 19 QBTS The Trump-Musk Effect: Can D-Wave Quantum Sustain Its Meteoric Rise Amid Financial Turmoil?
Nov 18 IONQ IonQ to Advance Hybrid Quantum Computing with New Chemistry Application and NVIDIA CUDA-Q
Nov 18 LAES SEALSQ and WISeKey Further Integrate their Technologies to Revolutionize the Digital Ecosystem with Post-Quantum Cryptographic Chips, Cybersecurity, Satellites and Advanced TIoT Solutions
Nov 17 IONQ Rocket Lab And Hut 8 Mining Are Among Top 7 Mid-Cap Gainers Last Week (November 11-15): Are The Others In Your Portfolio?
Nov 16 QUBT Quantum Computing: The New High-Risk, High-Reward Gem In My Investment Portfolio
Nov 15 RGTI Rigetti Computing Rises After Q3 2024 Earnings Due To Modular QPU Framework
Nov 15 RGTI Analysts Just Made A Major Revision To Their Rigetti Computing, Inc. (NASDAQ:RGTI) Revenue Forecasts
Nov 15 QUBT Quantum Computing shares slide after co. raises ~$40M through registered direct offering
Nov 15 QUBT Quantum Computing, Inc. Announces Registered Direct Offering of $40 Million Priced At-The-Market Under Nasdaq Rules
Quantum Computing

Quantum computing is the use of quantum phenomena such as superposition and entanglement to perform computation. Computers that perform quantum computations are known as quantum computers. Quantum computers are believed to be able to solve certain computational problems, such as integer factorization (which underlies RSA encryption), substantially faster than classical computers. The study of quantum computing is a subfield of quantum information science.
Quantum computing began in the early 1980s, when physicist Paul Benioff proposed a quantum mechanical model of the Turing machine. Richard Feynman and Yuri Manin later suggested that a quantum computer had the potential to simulate things that a classical computer could not. In 1994, Peter Shor developed a quantum algorithm for factoring integers that had the potential to decrypt RSA-encrypted communications. Despite ongoing experimental progress since the late 1990s, most researchers believe that "fault-tolerant quantum computing [is] still a rather distant dream." In recent years, investment into quantum computing research has increased in both the public and private sector. On 23 October 2019, Google AI, in partnership with the U.S. National Aeronautics and Space Administration (NASA), claimed to have performed a quantum computation that is infeasible on any classical computer.There are several models of quantum computers (or rather, quantum computing systems), including the quantum circuit model, quantum Turing machine, adiabatic quantum computer, one-way quantum computer, and various quantum cellular automata. The most widely used model is the quantum circuit. Quantum circuits are based on the quantum bit, or "qubit", which is somewhat analogous to the bit in classical computation. Qubits can be in a 1 or 0 quantum state, or they can be in a superposition of the 1 and 0 states. However, when qubits are measured the result of the measurement is always either a 0 or a 1; the probabilities of these two outcomes depend on the quantum state that the qubits were in immediately prior to the measurement.
Progress towards building a physical quantum computer focuses on technologies such as transmons, ion traps and topological quantum computers, which aim to create high-quality qubits. These qubits may be designed differently, depending on the full quantum computer's computing model, whether quantum logic gates, quantum annealing, or adiabatic quantum computation. There are currently a number of significant obstacles in the way of constructing useful quantum computers. In particular, it is difficult to maintain the quantum states of qubits as they suffer from quantum decoherence and state fidelity. Quantum computers therefore require error correction.Any computational problem that can be solved by a classical computer can also be solved by a quantum computer. Conversely, any problem that can be solved by a quantum computer can also be solved by a classical computer, at least in principle given enough time. In other words, quantum computers obey the Church–Turing thesis. While this means that quantum computers provide no additional advantages over classical computers in terms of computability, quantum algorithms for certain problems have significantly lower time complexities than corresponding known classical algorithms. Notably, quantum computers are believed to be able to quickly solve certain problems that no classical computer could solve in any feasible amount of time—a feat known as "quantum supremacy." The study of the computational complexity of problems with respect to quantum computers is known as quantum complexity theory.

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