A curated collection of quantum computing resources, frameworks, cloud platforms, algorithms, hardware providers, academic research, and industry applications.
- Overview
- Quantum Computing Frameworks
- Cloud Platforms
- Quantum Hardware Providers
- Quantum Algorithms
- GitHub Repositories
- Academic Research
- Educational Resources
- Applications
- Post-Quantum Cryptography
- Timeline & Roadmap
Quantum computing harnesses quantum mechanical phenomena such as superposition and entanglement to perform computations that are intractable for classical computers. The field is rapidly advancing from theoretical research to practical applications across multiple domains.
Key Quantum Phenomena:
- 🌀 Superposition - Qubits exist in multiple states simultaneously
- 🔗 Entanglement - Quantum states become correlated across qubits
- 📊 Interference - Amplifying correct answers while canceling wrong ones
Current Era: NISQ (Noisy Intermediate-Scale Quantum) - 50-1000+ qubits with limited coherence
Repository: github.com/Qiskit/qiskit
Open-source SDK for working with quantum computers at the level of circuits, operators, and primitives.
Features:
- Circuit building and optimization
- Sampler and Estimator primitives
- Transpiler for circuit optimization
- Integration with IBM Quantum Platform
Community Projects:
- Qiskit Machine Learning
- Qiskit Nature - Quantum mechanical natural science problems
Repository: github.com/quantumlib/Cirq
Python framework for creating, editing, and invoking quantum circuits on NISQ computers.
Features:
- Flexible gate definitions
- Parameterized circuits
- Circuit transformation
- Hardware device modeling
- Native support for Google quantum processors
Related:
- ReCirq - Research code and experiments
Repository: github.com/PennyLaneAI/pennylane
Cross-platform library for differentiable programming of quantum computers, quantum machine learning, and quantum chemistry.
Features:
- Quantum-classical hybrid workflows
- Automatic differentiation
- Integration with TensorFlow, PyTorch, JAX
- Plugin ecosystem (Lightning, Qiskit, Cirq)
Plugins:
pennylane-lightning- Fast state-vector simulatorspennylane-qiskit- Qiskit integration
Website: quantum.ibm.com
Hardware: Superconducting transmon qubits
Access: Public and premium cloud access
Framework: Qiskit
Key Features:
- IBM Quantum Composer (graphical interface)
- Suite of quantum processors
- Enterprise-first approach
- Roadmap: 2,000 logical qubits by 2033
Notable Systems:
- IBM Q System One (2019) - First commercial quantum computer
Website: quantumai.google
Hardware: Superconducting qubits
Framework: Cirq
Access: Google Cloud Platform
Achievements:
- Sycamore (2019): Quantum advantage demonstration (200 seconds vs 10,000 years)
- Willow (2024): First verifiable quantum advantage with improved error correction
Focus Areas:
- Large-scale error-corrected quantum computers
- Novel chip architectures
- Quantum algorithm research
Website: azure.microsoft.com/quantum
Approach: Open, flexible, hardware-agnostic platform
Hardware Partners:
- Quantinuum (trapped-ion)
- IonQ (trapped-ion)
- Atom Computing (neutral atom)
Software:
- Q# quantum programming language
- Quantum Development Kit (QDK)
- Support for Qiskit, Cirq, OpenQASM
Special Platforms:
- Azure Quantum Elements - AI + HPC + quantum for molecular simulations
Microsoft Research:
- Topological quantum computing (error-resistant qubits)
Website: aws.amazon.com/braket
Model: Aggregator platform - single access point to multiple quantum hardware providers
Hardware Options:
- Ion Trap: IonQ, AQT
- Superconducting: IQM, Rigetti
- Neutral Atom: QuEra Computing
Features:
- Managed Jupyter notebooks
- Modular Python SDK
- Hybrid quantum-classical workflows
- Integration with AWS services
Technology: Trapped-ion (Ytterbium ions)
Website: ionq.com
Key Features:
- All-to-all qubit connectivity
- Laser-based operations (preparation, gates, readout)
- Cloud access via AWS, Azure, Google Cloud
- Dedicated quantum factory (2024)
Technology: Superconducting quantum integrated circuits
Website: rigetti.com
Approach: Full-stack quantum computing
Capabilities:
- In-house chip design and fabrication
- Forest platform (Quantum Instruction Language - Quil)
- Rigetti Quantum Cloud Services
- Novera - On-premises QPU
Technology: Neutral-atom quantum computers
Website: quera.com
Origins: Harvard University + MIT research
Specifications:
- Up to 256 qubits (Aquila-class)
- Field-Programmable Qubit Arrays (FPQA™)
- Room temperature operation (no cryogenic cooling)
- Low energy consumption
Access: Cloud (Amazon Braket) + on-premises
Technology: Optically trapped neutral atoms
Website: atom-computing.com
Achievements:
- First universal quantum platform >1,000 qubits (1,180-qubit prototype, 2023)
- AC1000: 1,200+ physical qubits
Features:
- 40-second coherence times
- All-to-all connectivity
- Mid-circuit measurement with qubit reuse
Developer: Peter Shor
Purpose: Integer factorization
Significance:
- Exponentially faster than classical algorithms
- Threatens RSA cryptography
- Uses quantum Fourier transform
Impact: Motivated post-quantum cryptography research
Developer: Lov Grover
Purpose: Unstructured search
Speedup: Quadratic (√N vs N queries)
Mechanism:
- Amplitude amplification
- Reflection on the mean
- Inversion of marked state
Applications: Database search, optimization problems
Type: Hybrid quantum-classical algorithm
Suited for: NISQ devices
Purpose: Find ground state energy of quantum systems
Applications:
- Quantum chemistry
- Materials science
- Drug discovery
Process:
- Quantum computer prepares parameterized state (ansatz)
- Measures expectation value
- Classical optimizer adjusts parameters
- Iterates to minimize energy
Type: Hybrid quantum-classical algorithm
Purpose: Combinatorial optimization
Target: NP-hard problems
Mechanism:
- Parameterized quantum circuit
- Alternating problem/mixing Hamiltonians
- Classical optimization of parameters
Applications:
- Logistics optimization
- Portfolio optimization
- Supply chain management
- awesome-quantum-computing - Curated list of quantum computing resources
- awesome-quantum-machine-learning
- Qiskit - IBM's quantum SDK
- Cirq - Google's quantum framework
- PennyLane - Differentiable quantum programming
- ProjectQ - Open-source quantum compiler
- Strawberry Fields - Photonic quantum computing
- QuTiP - Quantum Toolbox in Python
- pyQuil - Rigetti's Python library
- Qulacs - Fast quantum circuit simulator
- TensorFlow Quantum - TensorFlow integration
- Qiskit Machine Learning
- Simulation of Two-qubit Gate Variability and Fidelity of Spin Qubits Built on Nanosheet Technology (2026-06-30)
Silicon spin qubits are promising for large-scale quantum-computer integration because they can fully leverage the well-developed semiconductor infrastructure. However, the low fidelity of two-qubit e...
- An efficient Pauli decomposition algorithm for structured matrices (2026-06-30)
Decomposing classical matrices into linear combinations of Pauli strings is a major bottleneck for end-to-end implementations of near-term quantum algorithms. In this work, we consider a promise versi...
- Electrons on Helium and Entangled Quantum Sensors for Particle Physics (2026-06-30)
Quantum sensors that harness quantum coherence and entanglement are emerging as powerful tools in many fields, including particle physics, promising unprecedented sensitivity beyond classical detectio...
- Lazy-Move Compilation for Neutral-Atom Quantum Computers via a Buffer-Relay Fabric (2026-06-30)
Neutral atom quantum computing offers strong scalability and flexible qubit connectivity, but most existing compilation flows rely on reconfigurable atom arrays that physically shuttle qubit atoms dur...
- Correlation is magic in electronic structure Hamiltonians (2026-06-30)
The gate and qubit requirements of quantum computations of electronic structure have been extensively studied. However, the quantum resources present in electronic ground states, as measured by entang...
- More efficient Clifford+T synthesis for small-angle rotations and application to Trotterization (2026-05-29)
Clifford+T synthesis of rotation gates is an important routine in fault-tolerant quantum compilation. While Clifford+T synthesis is scalable, it has a high overhead of tens of T gates per rotation in ...
- (Non-)Traversable Quantum Phase Transitions (2026-05-29)
Quantum phase transitions manifest as an abrupt change in the ground state of a many-body system; yet it is an open question whether this sudden change necessarily precludes a continuous dynamical con...
- Intrinsic locality dimension of quantum codes (2026-05-29)
Quantum error-correcting codes are a cornerstone of quantum computing, with broad and profound connections to physics and mathematics. In this work, we introduce the notion of intrinsic locality dimen...
- Fidelity bounds for spin-dependent kicks with pulsed lasers (2026-05-29)
Excitation of trapped-ion hyperfine qubits with fast optical Raman pulses enables faster-than-trap-period entangling gates with qubits of long coherence time for practical quantum computation. Achievi...
- Sharp periodic Ge concentration modulations beyond the conduction band valley wavevector $k_0$ in nuclear spin-free Si quantum wells (2026-05-29)
Periodic Ge modulations within strained Si quantum wells in SiGe heterostructures offer a route to deterministically enhance conduction-band valley splitting in Si, a key requirement for scalable spin...
- Efficient Parallel Compilation and Profiling of Quantum Circuits at Large Scales (2026-03-31)
Compiling quantum circuits is a major bottleneck in quantum computing, and given the scale required in a few years, is likely to become infeasibly long. Techniques to reduce compilation time for quant...
- Logical-to-Physical Compilation for Reducing Depth in Distributed Quantum Systems (2026-03-31)
Quantum computing is expected to become a foundational technology for solving problems that exceed the capabilities of classical systems. As quantum algorithms and hardware technologies continue to ad...
- YZ-plane measurement-based quantum computation: Universality and Parity Architecture implementation (2026-03-31)
We define the class of register-logic graphs and prove that any uniformly deterministic measurement-based quantum computation (MBQC) where the inputs coincide with the outputs must be driven on such g...
- Change in bit-flip times of Kerr parametric oscillators caused by their interactions (2026-03-31)
We experimentally investigate how interactions between Kerr parametric oscillators (KPOs) degrade their bit-flip times, where a bit flip is defined as a transition between the two degenerate ground st...
- Oxide-nitride heteroepitaxy for low-loss dielectrics in superconducting quantum circuits (2026-03-30)
Superconducting qubits show great promise for the realization of fault-tolerant quantum computing, but lossy, amorphous dielectrics limit current technology. Identifying highly crystalline and stoichi...
- Strengthening security and noise resistance in one-way quantum key distribution protocols through hypercube-based quantum walks (2026-02-26)
Quantum Key Distribution (QKD) is a foundational cryptographic protocol that ensures information-theoretic security. However, classical protocols such as BB84, though favored for their simplicity, off...
- Connecting Quantum Contextuality and Nonlocality (2026-02-26)
Quantum theory departs from classical physics in its treatment of correlations, most prominently through the phenomena of contextuality and nonlocality. Once regarded primarily as foundational curiosi...
- Dequantization Barriers for Guided Stoquastic Hamiltonians (2026-02-26)
We construct a probability distribution, induced by the Perron--Frobenius eigenvector of an exponentially large graph, which cannot be efficiently sampled by any classical algorithm, even when provide...
- Q-Tag: Watermarking Quantum Circuit Generative Models (2026-02-26)
Quantum cloud platforms have become the most widely adopted and mainstream approach for accessing quantum computing resources, due to the scarcity and operational complexity of quantum hardware. In th...
- A quantum feasibility preserving modeling for the min cut problem (2026-02-26)
We study the minimum cut problem in weighted undirected graphs using variational quantum algorithms in which only feasible cut configurations are explored. Although minimum cut admits efficient classi...
- Designing quantum technologies with a quantum computer (2026-01-29)
Interacting spin systems in solids underpin a wide range of quantum technologies, from quantum sensors and single-photon sources to spin-defect-based quantum registers and processors. We develop a qua...
- Thermodynamics of linear open quantum walks (2026-01-29)
Open quantum systems interact with their environment, leading to nonunitary dynamics. We investigate the thermodynamics of linear Open Quantum Walks (OQWs), a class of quantum walks whose dynamics is ...
- Machine learning with minimal use of quantum computers: Provable advantages in Learning Under Quantum Privileged Information (LUQPI) (2026-01-29)
Quantum machine learning (QML) is often listed as a promising candidate for useful applications of quantum computers, in part due to numerous proofs of possible quantum advantages. A central question ...
- Rapid high-temperature initialisation and readout of spins in silicon with 10 THz photons (2026-01-29)
Each cycle of a quantum computation requires a quantum state initialisation. For semiconductor-based quantum platforms, initialisation is typically performed via slow microwave processes and usually r...
- Error-detectable Universal Control for High-Gain Bosonic Quantum Error Correction (2026-01-29)
Protecting quantum information through quantum error correction (QEC) is a cornerstone of future fault-tolerant quantum computation. However, current QEC-protected logical qubits have only achieved co...
- Qubits and Vacuum Amplitudes (2026-01-02)
High-energy colliders, such as the Large Hadron Collider (LHC) at CERN, are genuine quantum machines, so, in line with Richard Feynman's original motivation for Quantum Computing, the scattering proce...
- Quantum Approaches to the Minimum Edge Multiway Cut Problem (2026-01-02)
We investigate the minimum edge multiway cut problem, a fundamental task in evaluating the resilience of telecommunication networks. This study benchmarks the problem across three quantum computing pa...
- Quantum Simulation of Protein Fragment Electronic Structure Using Moment-based Adaptive Variational Quantum Algorithms (2026-01-02)
Background: Understanding electronic interactions in protein active sites is fundamental to drug discovery and enzyme engineering, but remains computationally challenging due to exponential scaling of...
- Cyberscurity Threats and Defense Mechanisms in IoT network (2026-01-02)
The rapid proliferation of Internet of Things (IoT) technologies, projected to exceed 30 billion interconnected devices by 2030, has significantly escalated the complexity of cybersecurity challenges....
- A Geometrical Design Tool for Building Cost-Effective Layout-Aware n-Bit Quantum Gates Using the Bloch Sphere Approach (2026-01-01)
The conventional design technique of any n-bit quantum gate is mainly achieved using unitary matrices multiplication, where n >= 2 and 1 <= m <= n-1 for m target qubits and n-m control qubits. These m...
Landmark Papers:
- Google Sycamore (2019) - Nature: Quantum supremacy demonstration
- USTC Jiuzhang (2020) - Gaussian boson sampling on 76 photons
- University of Texas (2025) - Unconditional separation (arXiv preprint)
- Google Willow (2024) - Logical qubit with lower error rate than physical qubits
- Harvard (2025) - Nature: 3,000-qubit computer with new error correction
- Quantum computing overviews and vision
- Quantum-classical hybrid systems
- Quantum AI integration
- Hardware and software development
Key Topics:
- Fault-tolerant quantum computing
- Topological quantum computing
- Quantum annealing
- Variational quantum algorithms
MIT OpenCourseWare:
- Introduction to Quantum Computing (Prof. Will Oliver)
- MIT 6.S965 - Quantum Computing Basics
- MIT 8.04 Quantum Physics I (Prof. Allan Adams)
- Quantum Computing Fundamentals
Stanford:
- Stanford Quantum Initiative (SQCA)
- Modern Physics: Quantum Mechanics (Leonard Susskind)
- Quantum Computing Applications (Prof. Jelena Vuckovic)
Industry:
- Qiskit - Hands-on quantum programming
- IBM Research - Beginner's Guide to Quantum Computing
- Google Quantum AI - Research updates and tutorials
Community:
- Quantum Soar - Basic quantum algorithms
- QCTheory - Quantum theory fundamentals
- Quantum Sense - Clear explanations (Hilbert Space, etc.)
Universities:
- UCL Quantum Science and Technology Institute
- University of Waterloo (Richard Cleve)
- Oxford (Artur Ekert)
- John Watrous (IBM) - Fault tolerance lectures
Research Institutions:
- Quanta Magazine
- The Quantum Insider
- Simons Institute
- QuTech Academy
- Munich Center for Quantum Science & Technology
Capabilities:
- Molecular simulation and interaction analysis
- Accelerated drug screening
- Protein folding and geometry modeling
- Personalized medicine
- Chemical reaction optimization
Benefits:
- Faster, more precise predictions
- Reduced time and cost
- Targeted drug design
- Better understanding of biological systems
Problem Types:
- Logistics and routing
- Supply chain management
- Portfolio optimization
- Resource allocation
- Scheduling
Advantages:
- Evaluate multiple possibilities simultaneously
- Solve previously intractable problems
- Faster solutions than classical methods
Algorithms: QAOA, quantum annealing
Applications:
Portfolio Optimization:
- Maximize returns while minimizing risk
- Analyze massive financial datasets
- Efficient asset allocation
Risk Management:
- Enhanced risk profiling
- Precise market simulations
- Credit scoring
- Real-time risk assessment
- Fraud detection
Financial Modeling:
- Faster Monte Carlo simulations
- Comprehensive probabilistic analysis
- Better predictive analytics
- Reduced uncertainty
High-Frequency Trading:
- Market pattern analysis
- Ultra-fast trade execution
Quantum Machine Learning (QML):
- Generative modeling
- Fraud detection
- Churn prediction
- Synthetic data generation
- Molecular dynamics simulation
- New materials discovery
- Catalyst design
- Battery optimization
- Weather prediction
- Climate change simulation
- Carbon capture optimization
Timeline:
- 2016: Public call for proposals
- 2017: 69 submissions received
- 2022: Four algorithms selected
- August 2024: First three FIPS standards released
Formerly: CRYSTALS-Kyber
Purpose: General encryption
Advantages: Small encryption keys, fast operation
Use Cases: Website access, secure communications
Formerly: CRYSTALS-Dilithium
Purpose: Digital signatures
Function: Authenticity and integrity of digital communications
Formerly: SPHINCS+
Purpose: Backup digital signature standard
Approach: Different mathematical foundation than ML-DSA
FALCON (FN-DSA):
- Digital signature algorithm
- Expected finalization: Late 2024
HQC (Hamming Quasi-Cyclic):
- Code-based scheme
- Backup for ML-KEM
- Draft standard: Early 2026
- Finalization: 2027
- Lattice-based cryptography
- Hash-based cryptography
- Code-based cryptography
Security: Resistant to both classical and quantum attacks
Urgency: Protection against "harvest now, decrypt later" attacks
gantt
title Quantum Computing Timeline
dateFormat YYYY
section Hardware
IBM Q System One :done, 2019, 2020
Google Sycamore Supremacy :done, 2019, 2020
IonQ Quantum Factory :done, 2024, 2025
Atom Computing 1000+ Qubits:done, 2023, 2024
IBM 2000 Logical Qubits :2030, 2033
section Algorithms
Shor's Algorithm :done, 1994, 1995
Grover's Algorithm :done, 1996, 1997
VQE Development :done, 2014, 2020
QAOA Development :done, 2014, 2020
section Standards
NIST PQC Call :done, 2016, 2017
NIST Algorithm Selection :done, 2022, 2023
NIST FIPS Release :done, 2024, 2025
FALCON Finalization :2024, 2025
HQC Finalization :2026, 2027
section Cloud Platforms
IBM Quantum Cloud :done, 2016, 2026
AWS Braket Launch :done, 2020, 2026
Azure Quantum Launch :done, 2019, 2026
Google Quantum AI :done, 2019, 2026
Key Milestones:
- ✅ 1994: Shor's algorithm published
- ✅ 1996: Grover's algorithm published
- ✅ 2016: IBM Quantum cloud access launched
- ✅ 2019: Google quantum supremacy claim
- ✅ 2019: IBM Q System One (first commercial quantum computer)
- ✅ 2023: Atom Computing >1,000 qubits
- ✅ 2024: NIST post-quantum cryptography standards released
- ✅ 2024: Google Willow chip (improved error correction)
- 📅 2027: HQC post-quantum standard finalized
- 📅 2030s: Fault-tolerant quantum computers expected
- 📅 2033: IBM 2,000 logical qubits target
| Technology | Providers | Advantages | Challenges |
|---|---|---|---|
| Superconducting | IBM, Google, Rigetti | Fast gates, mature technology | Requires cryogenic cooling |
| Trapped Ion | IonQ, Quantinuum | Long coherence, high fidelity | Slower gates |
| Neutral Atom | QuEra, Atom Computing | Scalability, room temperature | Developing technology |
| Photonic | Xanadu, PsiQuantum | Room temperature, networking | Challenging to scale |
| Topological | Microsoft (research) | Inherent error resistance | Still in research phase |
- Choose a framework: Qiskit, Cirq, or PennyLane
- Access cloud platforms: IBM Quantum, AWS Braket, or Azure Quantum
- Learn quantum algorithms: Start with Grover's and VQE
- Explore tutorials: MIT OCW, Qiskit tutorials, PennyLane demos
- Study quantum mechanics fundamentals
- Explore arXiv quantum computing papers
- Join research consortiums
- Contribute to open-source projects
- Identify use cases: Optimization, simulation, ML
- Pilot projects: Start with NISQ algorithms (VQE, QAOA)
- Prepare for post-quantum cryptography
- Partner with quantum cloud providers
This is a living document. To suggest additions or corrections:
- Fork the repository
- Create a feature branch
- Submit a pull request with references
This reference guide is provided for educational and research purposes. All linked resources are property of their respective owners.
Last Updated: January 2026
Maintained by: @nbajpai-code