Quantum Computation:
Quantum computing represents a transformative leap in information processing. Unlike classical computing—which processes data in discrete bits (0s or 1s)—quantum computing leverages qubits that exploit the principles of superposition and entanglement to exist in multiple states simultaneously. This remarkable capability enables quantum systems to process vast amounts of information in parallel, opening new avenues for breakthroughs in complex problem-solving, optimization, and simulation tasks that are unattainable with conventional computing.
At the hardware level, physical qubits (such as superconducting circuits or trapped ions) are the tangible elements that embody quantum states. However, due to their sensitivity to environmental disturbances and operational imperfections, these physical qubits are inherently prone to errors. To ensure that quantum computations remain accurate and stable as systems scale up, advanced quantum error correction (QEC) techniques are employed. These techniques involve encoding quantum information redundantly across multiple physical qubits, thereby creating more robust logical qubits. This layered approach not only mitigates individual errors but also underpins the scalability and long-term reliability of quantum technologies.
A compelling aspect of our strategy is the exponential growth in qubit counts, which is a key indicator of the rapid evolution in quantum technology. Our projections—illustrated by a logarithmically scaled graph and detailed in the table below—suggest that, under optimistic conditions, the number of qubits could double every 10 months, while a more conservative scenario projects a doubling every 20 months. This extraordinary rate of growth underscores the pace of technological advancement and substantiates the long-term viability of our quantum computing strategy for investors and stakeholders.
Below is the historical and projected data table that quantifies the evolution of qubit counts over recent years.
| Number of qubits | Year | Reference |
|---|---|---|
| 2 | 2013 | Córcoles, A.D. (et al.) two_qubit |
| 5 | 2014 | Barends (et al.) at_the_surface |
| 3 | 2014 | Chow (et al.) scalable |
| 5 | 2016 | IBM ibm_cloud |
| 16 | 2017 | IBM ibm_bouble |
| 20 | 2017 | Reynolds google |
| 49 | 2018 | Reynolds google |
| 32 | 2019 | Rigetti Aspen-8 rigetti_aspen_8 |
| 53 | 2019 | Google Sycamore google_sycamore |
| 65 | 2020 | IBM Hummingbird ibm_hummingbird |
| 127 | 2021 | IBM ibm_eagle |
| 80 | 2022 | Rigetti rigetti |
| 433 | 2022 | IBM ibm_osprey |
| 1121 | 2023 | IBM ibm_condor |
| 1180 | 2023 | Atom Computing atom_computing |
| 105 | 2024 | Google google_willow |
| 3000 | 2025 | QuEra Computing quera_computing |
| 4158 | 2026 | IBM ibm_kookaburra |
| 10000 | 2026 | QuEra Computing quera_computing |
References:
Extra Reading:
Quantum Zeitgeist (Qubit Growth)— Discusses the historical growth in qubit counts and trends across different technologies.
IBM Quantum Roadmap— Provides detailed insights into IBM's plans for scaling quantum processors.
The Quantum Insider (2025 Predictions)— Offers predictions for 2025 including advancements in logical qubits and breakthroughs in error correction.