IBM Quantum · October 2026
From Quantum Advantage to Enterprise Readiness
Quantum computing is moving from scientific experimentation toward a new model of computation. Explore quantum, hybrid quantum-classical workflows, and quantum-safe security through interactive demonstrations.
01What can quantum computers do today?02Where could quantum create business and scientific value?03How should enterprises prepare for a quantum future now?
Three Journeys · Understand · Experiment · Prepare
120 qubits
Qiskit runtime
NOWClient Engagement
What we offer clients
Five service lines that turn quantum potential into evidence-based enterprise decisions — from first assessment through production readiness.
Advisory
Quantum Opportunity Assessment
Find where quantum is worth investigating — and where it is not.
What's included
- Executive briefing on quantum state & roadmap
- Use-case discovery workshop
- Feasibility screening against classical baselines
- Prioritized opportunity shortlist
- Go / no-go recommendation per use case
IBM technologies
IBM Quantum PlatformQiskitOpportunity Mapper
Deliverable
Prioritized opportunity assessment with evidence-based go / no-go per use case
Prototyping
Quantum Proof of Concept
Build and benchmark quantum or hybrid workflows using IBM Quantum and Qiskit.
What's included
- Problem formalization
- Qiskit implementation
- Classical benchmark establishment
- IBM Quantum execution or simulation
- Performance comparison
- Evidence report
IBM technologies
QiskitIBM Quantum PlatformNighthawk r2 QPUQuantum simulators
Deliverable
Working PoC with benchmarked results and an evidence report
Architecture
Quantum-Centric Architecture
Design CPU + GPU + HPC + AI + QPU enterprise architectures.
What's included
- Workload decomposition
- Resource mapping (CPU / GPU / HPC / QPU)
- Hybrid orchestration design
- Integration with existing HPC
- Scalability & performance planning
IBM technologies
IBM Quantum PlatformQiskit FunctionsQuantum-centric supercomputing patterns
Deliverable
Reference architecture for quantum-centric supercomputing integration
Security
Quantum-Safe Readiness
Discover cryptographic exposure, prioritize risk, and plan PQC migration.
What's included
- Cryptographic asset discovery
- CBOM generation
- Vulnerability assessment
- Risk prioritization
- PQC migration roadmap
- Crypto-agility planning
IBM technologies
IBM Guardium Crypto ManagerQuantum Safe ExplorerQuantum Safe RemediatorNIST PQC standards
Deliverable
Quantum-safe posture assessment and PQC migration plan
Governance
Quantum Governance & Operating Model
Define ownership, evidence requirements, investment gates, security, risk, and production-readiness criteria.
What's included
- Ownership & accountability model
- Evidence requirements
- Investment gates
- Security & risk policies
- Production-readiness criteria
- Operating model design
IBM technologies
IBM Quantum Platform governanceQiskit evaluation harnessClaims registry methodology
Deliverable
Governance framework and operating model for quantum initiatives
Three engagement levels
Discover
What the client gets
- Executive workshop
- Quantum education
- Opportunity assessment
- Use-case prioritization
- Quantum-safe posture
Experiment
What the client gets
- Working PoC
- Qiskit implementation
- Classical benchmark
- IBM Quantum execution / simulation
- Evidence report
Operationalize
What the client gets
- Hybrid architecture
- Integration design
- Governance
- Observability
- Security & PQC migration
- Operating model
Each demo maps to a client service
The outcome
The outcome is not simply a quantum demo. It is an evidence-based decision: invest, experiment further, monitor, or stay classical.
NOWSection 01 · Live ProjectsAvailable now
Quantum Project Lab — six flagship projects
Each live demo answers a different enterprise question and demonstrates a different quantum computational pattern — optimization, chemistry, simulation, advantage, security, and operations. Every project follows the same lifecycle: Define → Model → Classical Baseline → Quantum → Hybridize → Validate → Interpret.
6
Flagship projects
1
Act-now priority
2
Research priority
2
Strategic priority
100%
Avg. demo completeness
Quantum Portfolio Optimizer
Financial Services
Enterprise question
“How can we construct a portfolio when thousands of combinations, constraints and competing objectives make optimization increasingly difficult?”
BUSINESS SIMULATIONSTRATEGICOPTIMIZATION
Quantum Molecular Discovery Lab
Healthcare / Pharma
Enterprise question
“Can quantum computing help calculate properties of molecular systems that become extraordinarily difficult to represent accurately using classical computation?”
RESEARCH REPLAYRESEARCHQUANTUM CHEMISTRY
Quantum Materials & Energy Lab
Energy / Manufacturing
Enterprise question
“Can quantum computers model the quantum mechanics of industrial materials and energy systems?”
RESEARCH REPLAYRESEARCHQUANTUM SIMULATION
Quantum Advantage & Trust Lab
Research / Technology
Enterprise question
“How do we know a quantum computer has done something genuinely beyond classical computation — and how do we trust an answer the classical computer cannot reproduce?”
RESEARCH REPLAYFOUNDATIONALADVANTAGE
Quantum-Safe Enterprise Defender
Cybersecurity
Enterprise question
“What enterprise quantum problem requires action even before large fault-tolerant quantum computers exist?”
BUSINESS SIMULATIONACT NOWQUANTUM SAFE
Quantum Logistics Optimizer
Supply Chain / Operations
Enterprise question
“How should a company allocate scarce resources across many competing objectives and constraints?”
BUSINESS SIMULATIONSTRATEGICOPTIMIZATION
Quantum Project Lab — choose a challenge
COMPUTE WITH QUANTUMWhere quantum may create computational advantage
PROVE QUANTUM VALUEHow advantage is established and trusted
PROTECT AGAINST QUANTUMThe enterprise action that exists today
Quantum Portfolio Optimizer
Financial Services · OPTIMIZATION
BUSINESS SIMULATION
How can we construct a portfolio when thousands of combinations, constraints and competing objectives make optimization increasingly difficult?
1Define›
2Model›
3Classical Baseline›
4Quantum›
5Hybridize›
6Validate›
7Interpret
Universe · 500 securities · 50 selected for demonstration
Target return8%
Max volatility12%
Max assets15
Max sector exposure25%
Search space2.25×10^12candidate combinations7 HOVER-ENABLED CLAIMS
1. Classical Baseline
· Heuristic / MILP
· CPLEX-like benchmark
· Constraint check
2. Quantum Sampling
· Binary encoding
· Quantum circuit
· QPU / simulator
· Candidate samples
3. Hybrid Refinement
· Quantum samples
· Classical local search
· Constraint validation
· Final candidate
IBM Quantum Nighthawk r2
120
Programmable qubits
7,500+
Gate circuits executed accurately
100,000+
Circuits per second
Useful quantum computing depends on the interaction of Scale × Quality × Speed × Algorithms — not qubit count alone.
Where quantum may matter
Chemistry
- Molecular simulation
- Electronic structure
- Catalyst research
- Drug discovery research
Materials Science
- New materials
- Battery chemistry
- Energy systems
- Electronic materials
Optimization
- Scheduling
- Routing
- Resource allocation
- Complex combinatorial problems
Finance
- Portfolio optimization research
- Risk modeling research
- Simulation
Scientific Computing
- Physics
- Differential equations
- Complex system simulation
Interactive Demo 2
The quantum advantage race
Capability = the hardest problem solvable at a given size. Quantum advantage lives where the quantum curve rises above the classical curve.
Classical Quantum Possible advantage
Quantum advantage begins at problem size 2 and grows with scale.
Quantum advantage is not a permanent marketing benchmark. It is an empirical competition between the best available quantum and classical methods — problem-specific, evidence-based, and dynamic.
Interactive Demo · Trust & Verification
Trust a result you cannot reproduce classically
Once a quantum computation exceeds classical reach, "just simulate it and compare" stops working. The 2026 advantage work builds trust into the computation itself.
Old model · breaks down
Quantum result
Classical simulation
Compare
Eventually the classical computer cannot reproduce the computation.
Trusted computation model
Verifiable reference
Error syndromes
Validated noise / error properties
Structured computation
Confidence bound
Trusted result
2026 demonstration: IBM and University of Chicago researchers reported an encoded 70-logical-qubit computation finishing in ~15 minutes, while leading classical simulation would require infeasible resources — with validation built into the computational framework, not just classical reproduction of the final result.
Interactive Demo 3
Enterprise quantum opportunity mapper
Answer three questions to learn whether a problem is even a credible quantum candidate.
1 · What problem are you trying to solve?
2 · What is the computational bottleneck?
3 · Does an excellent classical solution already exist?
NOWSection 02
The state of quantum
Quantum computing is moving from scientific experimentation toward a new model of computation. IBM is building the hardware, software, algorithms, hybrid computing architecture, and security technologies needed for that transition.
NOW
What quantum can do today
Experimentation, problem-specific advantage research, hybrid workflows, and quantum-safe migration.
NEXT
Where value emerges next
Expanding practical quantum advantage and tighter quantum / HPC integration.
FUTURE
What to prepare for
Large-scale, fault-tolerant quantum computing — a roadmap, not a switch.
Reality Meter — what's real, what's research, what's roadmap
NOWSection 03
How quantum computing works
Quantum computers use qubits whose states exploit superposition, entanglement, and interference — a fundamentally different computational model, not a faster classical computer.
Superposition
A qubit can be a combination of computational basis states until it is measured.
Entanglement
Multiple qubits can develop correlations that cannot be represented independently.
Interference
Algorithms manipulate amplitudes so useful outcomes are amplified and unwanted ones suppressed.
Interactive Demo 1
Build & run a quantum circuit
Select a gate, then click a cell to place it. Run the circuit to see the measurement distribution.
Shots
The enemy: noise
Quantum computing is not simply about generating a circuit. It is about extracting trustworthy information from imperfect quantum systems.
Interactive Demo · Noise & Error Mitigation
The enemy: noise
The same Bell-state circuit, run two ways. Toggle IBM's mitigation techniques to recover the signal from noisy hardware.
Ideal simulator
|00⟩
47.8%
|01⟩
0.0%
|10⟩
0.0%
|11⟩
52.2%
Noisy hardware + mitigation
|00⟩
44.8%
|01⟩
5.7%
|10⟩
5.8%
|11⟩
43.7%
Error suppression & mitigation
Result trust0%
Raw result→Error characterization→Mitigation→Improved estimate
0/6 mitigations active
NOWSection 04
The IBM Quantum technology stack
IBM approaches quantum computing as an integrated computing architecture — not a standalone processor. Each layer serves the one above it.
Applications & Industry Problems
ChemistryMaterials ScienceOptimizationFinanceScientific ComputingMachine Learning Research
↓
Qiskit Functions
Application FunctionsCircuit FunctionsOptimizationChemistryPDEsMachine Learning
↓
Qiskit
Build circuitsOptimize workloadsExecute experimentsAnalyze results
↓
IBM Quantum Platform
Cloud access to IBM quantum systemsQuantum execution services
↓
Quantum + Classical Computing
CPU + GPU + QPU — Quantum-Centric Supercomputing
NOWSection 05Available now
Quantum-centric supercomputing
One problem, multiple computers. The enterprise model is CPU + GPU + HPC + AI + QPU — use the best computational resource for each part of the workload, not quantum as a standalone machine.
Interactive Demo · Quantum-Centric Supercomputing
One problem. Multiple computers.
Run the workflow and watch each computational resource take the portion of the problem it's best suited for.
Problem
Molecular simulation
CPU preparation
Problem & constraints
GPU
Classical numerical computation
QPU
Quantum subproblem / sampling
HPC aggregation
Combine results
Analysis & decision
Business rules
Live resource utilization
CPU0%
GPU0%
QPU0%
IBM's architectural principle: use the best computational resource for each part of the workload — CPU + GPU + HPC + AI + QPU orchestrated together.
Real research · Cleveland Clinic / RIKEN / IBMResearch now
12,635
atoms modeled
30,000
orbitals
94
quantum qubits in workflow
40×
system-size increase
210×
accuracy gain (one step)
The workflow is scientifically useful — but IBM states it does not yet outperform the strongest purely classical methods. That nuance is the point.
NEXTSection 06Roadmap
IBM Quantum roadmap: advantage → fault tolerance
From today's problem-specific advantage, through expanding advantage, to IBM Quantum Starling in 2029 and beyond.
NOW2026
Quantum Advantage Era
- Problem-specific quantum advantage demonstrated
- Nighthawk hardware platform
- Quantum + HPC workflows developing
- Enterprises identify credible use cases
NEXTNear-term
Expanding Quantum Advantage
- Increasing circuit scale
- Improved quantum-classical orchestration
- Expanded computational libraries
- More sophisticated application patterns
FUTURE2029
IBM Quantum Starling
- 200 logical qubits
- 100 million quantum gates
- Error-corrected computation
- Modular quantum architecture
FUTUREBeyond
Quantum-Centric Supercomputing
- Large, distributed, fault-tolerant systems
- CPU + GPU + AI + QPU orchestrated together
Physical vs logical qubits
120 physical qubits (Nighthawk) and 200 logical qubits (Starling) are completely different measures. A logical qubit is an error-protected abstraction built from many physical qubits.
Interactive Demo · Physical vs Logical Qubits
A logical qubit is not a physical qubit
At code distance 3, one error-corrected logical qubit is built from many physical qubits — plus ancillas for syndrome measurement and decoding.
L
1 logical qubit
error-protected
≡
25 physical qubits
+ ancillas & syndrome measurement
Nighthawk r2
120 physical qubits
Starling · 2029
200 logical qubits
≈ 5,000 physical qubits at this code distance
Don't conclude "120 → 200 isn't much progress." They are different measures — and fault tolerance trades many physical qubits for each reliable logical one.
Quantum myth vs reality
Five common misconceptions — and what the evidence actually says.
Myth
Quantum computers try every possible answer simultaneously.
Reality
Quantum algorithms manipulate amplitudes and interference to change the probability of measurement outcomes.
Myth
More qubits automatically means a more powerful computer.
Reality
Quality, connectivity, speed, topology, error handling and software matter enormously.
Myth
Quantum computers will replace classical computers.
Reality
IBM is building toward heterogeneous quantum-centric supercomputing.
Myth
Quantum computers already solve most enterprise problems faster.
Reality
Advantage is highly problem-specific and remains an active research frontier.
Myth
Organizations can wait for fault-tolerant systems before worrying about security.
Reality
Long-lived encrypted information creates a migration problem today.
NOWSection 07
Enterprise readiness
Two parallel programs — one to prepare to use quantum, one to prepare for quantum risk. Quantum-safe migration is the enterprise action that can be justified today.
Track A · Prepare to use quantum
- 1. Identify computationally difficult business problems
- 2. Establish strong classical benchmarks
- 3. Build internal quantum literacy
- 4. Experiment with Qiskit & IBM Quantum Platform
- 5. Test hybrid quantum-classical workflows
- 6. Measure actual advantage rather than assuming it
Track B · Prepare for quantum risk
- 1. Inventory cryptography
- 2. Generate CBOMs
- 3. Identify vulnerable algorithms
- 4. Map cryptography to sensitive data
- 5. Prioritize long-lived information
- 6. Begin post-quantum migration
- 7. Establish crypto-agility
Act now · Quantum-safe migration
Interactive Demo 4
Quantum-safe migration
A fictional enterprise — Global Financial Services — steps through the IBM Quantum Safe workflow.
427
Applications
18,420
Certificates
7,931
Crypto dependencies
1,284
Quantum-vulnerable assets
73
High-risk assets
Dependency trace
ApplicationAPITLSCertificateRSA-2048 Quantum vulnerable
Harvest now · decrypt later
Capture encrypted data todayStore itWaitDecrypt it later
If information must stay confidential for many years, the future quantum threat creates risk today.
IBM Quantum Safe technologies
IBM Guardium Cryptography Manager
Centralized discovery, visibility, lifecycle management, and remediation for cryptographic assets.
IBM Quantum Safe Explorer
Analyze source code, identify quantum-vulnerable algorithms, and generate Cryptography Bills of Materials (CBOM).
IBM Quantum Safe Remediator
Introduce crypto-agile remediation patterns and hybrid classical/post-quantum cryptography.
The executive message
Where does a different model of computation create measurable advantage?
Quantum HardwareQiskitQiskit FunctionsClassical & HPCQuantum-Safe Security
Quantum Computing
Explore now
Quantum Advantage
Measure & validate
Fault-Tolerant Quantum
Prepare for the roadmap
Quantum-Safe Security
Act now
NOWSection 08
Research & evidence
Every quantitative metric on this page carries a hover-enabled claim record — its confidence level, source, methodology, and limitations. A simulation never looks like a product capability.
The claims registry
Across the six flagship demos, each quantitative metric is backed by a claim record with a confidence label — RESEARCH, SYNTHETIC, BENCHMARK, or BUSINESS SIMULATION — plus its source, methodology, and what the evidence does not establish.
RESEARCHInteractive reconstruction based on published IBM research.
SYNTHETICIllustrative model — not a claim of quantum advantage.
BENCHMARKComparison against a stated classical baseline.
BUSINESS SIMULATIONSynthetic enterprise scenario for demonstration.
Comparison report
A formal, printable comparison of all six flagship projects — technology, scope, implementation, confidence levels, and the full 28-claim registry — for your quarterly review.
Open the report Quality standard
Every animation reveals whether it represents a real algorithm, a quantum simulation, an IBM-published research result, a live QPU run, or a synthetic business scenario.
Key research sources referenced
IBM / Cleveland Clinic / RIKEN — quantum-centric workflow
12,635-atom molecular simulation · 2026 Gordon Bell Prize finalist
IBM Quantum — Nighthawk r2 hardware
120 programmable qubits · 100K+ circuits/sec · 7,500+ accurate gate circuits
IBM Quantum — Starling roadmap
200 logical qubits · 100M quantum gates · target 2029
IBM Quantum Safe — CBOM specification
Cryptography Bill of Materials · PQC migration tooling