quantum technology·error correction
Error correction
Accurate simulation of large molecules and new materials may need error correction to succeed.
Where quantum technology is expected to create value.
quantum technology·error correction
Accurate simulation of large molecules and new materials may need error correction to succeed.
quantum technology·error correction
error-corrected qubits could run tasks beyond the reach of today’s machines; a rough estimate puts the hardware at tens of thousands of high-quality physical qubits.
quantum technology·error correction
physical qubits for one error-corrected qubit reliable through about a trillion operations, projected for the planar honeycomb code where two-qubit parity measurements are native, at a 0.1% physical error rate; from simulated noise, not a demonstration.
quantum technology·error correction
physical qubits projected for one logical qubit at one-in-a-trillion error rates in the planar honeycomb code at a 0.1% gate error rate: about 7,000 with standard two-qubit gates, about 50,000 in a superconducting-inspired model where 0.1% sits near threshold, and about 900 where two-qubit parity measurements are native; these are projections from simulated noise, not a demonstration.
quantum technology·error correction
simulated threshold of the surface code when its checks are compiled into two-qubit parity measurements, raised by a new circuit laid out on a pentagonal tiling; the qubits needed for one trillion operations at a 0.1% error rate fall from about 6,000 to about 3,000, while the honeycomb code in the same simulation needs about 1,000.
wires for a million qubits: about a million with one line per qubit, about a thousand with shared control.
QX by QED-C, QX Discovery Brief (for QX, Tucson, 8–11 November 2026) (opens in a new tab)
Quantum developers face bottlenecks that include access to critical materials and components, rapid prototyping and scalable manufacturing, growing markets, and finding and developing a quantum workforce.
CPUs and GPUs work beside the quantum processor; with error-correction rounds of about 0.5 µs, decoding and feedback must finish within about 5–20 µs.
Each qubit of the honeycomb code talks to at most three others, a sparse grid the authors say has practical hardware merits, and its checks measure two qubits at a time (one qubit at the patch’s boundary), which they call natural where such measurements are native, as in Majorana-based designs.
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Most workloads will stay hybrid, with classical systems doing most tasks and quantum used where it adds value.
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Quantum computing and AI can add value to each other; in a hypothetical first stage, quantum computers take on AI tasks that are extremely difficult classically, such as model training.
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
The value of quantum computing overlaps with the value of generative AI, so the two estimates do not simply add.
Reading data into and out of a quantum computer removes the exponential speedups promised for many algorithms, for example quantum machine learning on classical data.
Superconducting quantum sensors already measure the brain’s faint magnetic fields in clinical magnetoencephalography, and atomic vapor sensors have been used the same way.
sustainability·materials and chemistry
Better catalysts for nitrogen fixation and carbon capture, and new materials for power transmission and solar energy, are long-term promises of quantum simulation, not likely to be met before error correction.
Image: NASA/SDO
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
In the monitor’s words, “Sustainability benefits appear at scale, after initial higher energy demand due to control electronics and cooling is offset”; its source is a 2023 economic model.
investment insights·investment
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
invested in quantum technology start-ups in 2025, about 6.3 times the year before.
investment insights·investment
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
of 2025’s private investment in quantum start-ups came from private funds (venture capital and hedge funds, angel investors and accelerators), and 44% from capital markets.
investment insights·investment
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
“Private investments increasingly hinge on credible paths to error correction and revenue from emerging use cases.”
investment insights·investment
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
of companies in a 2025 study of quantum computing customers have yearly quantum computing budgets of at least $10M.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
possible value of quantum computing use cases in finance by 2035, by an approximate estimate.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Collateral optimization, fraud detection and derivative pricing, and the move to quantum-safe security.
investment insights·finance and insurance
Mortality forecasting and reinsurance allocation, shown at small scale on a quantum processor: a 4 × 4 mortality-model fit on four qubits and an allocation on six qubits, with no forecast made and no speed-up measured. Risk assessment and pricing, proposed. Claims and fraud analysis, only named.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Portfolio allocation and asset modeling, derivative pricing and hedging.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
potential impact of quantum computing on asset and wealth management by 2035, by an indicative estimate: more efficient portfolio allocation and asset modeling, personalized pricing and secure transactions.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
potential impact of quantum computing on risk and cybersecurity in finance by 2035, by an indicative estimate: more accurate fraud detection and the replacement of classical risk models.
investment insights·finance and insurance
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab), citing HSBC, 25 September 2025
In 2025 HSBC and IBM announced what they called the world’s first-known quantum-enabled algorithmic trading.
investment insights·industries
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
at stake for industry from quantum computing by 2035, by an approximate estimate.
investment insights·industries
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Simulation of molecules, run on quantum and classical computers together, in the search for new drugs.
investment insights·industries
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
New materials and catalysts, designed by computation before they are made in the lab.
investment insights·industries
McKinsey & Company, Quantum Technology Monitor 2026 (opens in a new tab)
Routing, scheduling and supply-chain optimization.