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 1 QBTS IBN Coverage: D-Wave Quantum (NYSE: QBTS) Strengthens Board With Key Appointments
Oct 31 QBTS D-Wave Quantum to Report Third Quarter 2024 Financial Results on November 14, 2024
Oct 31 RGTI Wall Street Bulls Look Optimistic About Rigetti Computing (RGTI): Should You Buy?
Oct 31 RGTI Rigetti and Riverlane Progress Towards Fault Tolerant Quantum Computing with Real-Time and Low Latency Error Correction on Rigetti QPU
Oct 31 QBTS D-Wave Deemed "Awardable" Vendor for US Department of Defense Chief Digital and Artificial Intelligence Office’s Tradewinds Solutions Marketplace
Oct 30 QUBT Quantum Computing Announces Strategic Partnerships and Pre-Orders Ahead of 2025 Foundry Opening
Oct 30 RGTI Fully Operational Rigetti QPU Included in UK’s Recently Opened National Quantum Computer Centre
Oct 30 LAES SEALSQ Organizes "The Day After Tomorrow: IoT Security in the Post-Quantum Age" Webinar
Oct 30 QUBT Quantum Computing announces partnerships and pre-orders
Oct 30 QUBT Quantum Computing, Inc. Announces Strategic Partnerships and Pre-Orders Ahead of 2025 Quantum Photonic Chip Foundry Opening
Oct 30 QBTS D-Wave Announces Appointment of Two New Board Members
Oct 30 QBTS D-Wave: Buying Before Earnings
Oct 29 IONQ IonQ: Upside Requires A Quantum Leap Of Faith
Oct 29 IONQ Wall Street Bulls Look Optimistic About IonQ (IONQ): Should You Buy?
Oct 29 RGTI Here is What to Know Beyond Why Rigetti Computing, Inc. (RGTI) is a Trending Stock
Oct 29 RGTI Rigetti Computing to Report Third Quarter 2024 Financial Results and Host Conference Call on November 12, 2024
Oct 29 QUBT Why VF Corp Shares Are Trading Higher By Around 21%; Here Are 20 Stocks Moving Premarket
Oct 28 QBTS IBN Coverage: D-Wave (NYSE: QBTS) Discusses Quantum Optimization at 2024 INFORMS Annual Meeting
Oct 27 IONQ Trump Media & Tech, ImmunityBio, And iRhythm Are Among Top 10 Mid Cap Gainers Last Week (Oct 21-Oct 25): Are The Others In Your Portfolio?
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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