Global Conference on New Computing Paradigms & Disruptive Technologies on December 03-05, 2026 in Paris, France

Call for papers/Topics

Topics of interest for submission include any topics related to:

1. Quantum Computing Paradigms

This paradigm moves away from binary bits (0 or 1) to qubits, utilizing the laws of subatomic physics to solve problems that are computationally "hard" for classical systems.

Quantum Mechanics Fundamentals: Superposition, Entanglement, and Quantum Tunneling.

Hardware Modalities: Superconducting loops, Trapped Ions, Topological Qubits, and Photonic Quantum processors.

Software & Algorithms: Shor’s Algorithm (cryptography), Grover’s Algorithm (search), and Variational Quantum Eigensolvers (VQE).

The Quantum Internet: Quantum Key Distribution (QKD) and Entanglement Swapping for unhackable communication.

2. Neuromorphic & Brain-Inspired Computing

Designed to mimic the physical structure and energy efficiency of the human brain, focusing on spiking neural networks (SNNs) rather than traditional continuous-data processing.

Synaptic Hardware: Memristors (memory-resistors) and Phase-Change Memory (PCM).

Architectures: Large-scale "Silicon Brains" (e.g., Intel Loihi, IBM TrueNorth).

Sensory Integration: Event-based vision sensors (cameras that only record changes in light) and Neuromorphic Auditory systems.

In-Memory Computing: Eliminating the "Von Neumann Bottleneck" by performing calculations directly where data is stored.

3. Biological & Molecular Computing

This paradigm treats biological molecules (DNA/RNA) or chemical reactions as information processors, offering massive density and parallelism.

DNA Data Storage: Encoding digital binary into A-T-C-G sequences for millennium-scale preservation.

Biocomputers: DNA Logic Gates (AND/OR/NOT) and strand displacement mechanisms.

Synthetic Biology: Engineering "Living Circuits" within bacteria or yeast to detect toxins or deliver medicine.

Molecular Robotics: Nano-scale "walkers" that move and perform tasks based on chemical inputs.

4. Edge, Fog, and Distributed Paradigms

As IoT devices multiply, the "Cloud" is being pushed to the "Edge" to reduce latency and improve privacy.

Edge Intelligence: Running AI inference locally on devices (smartphones, cars) without an internet connection.

Fog Computing: A "middle layer" of local local area network (LAN) nodes that aggregate data before it reaches the cloud.

Sovereign Cloud: Localized cloud infrastructures designed to meet specific national or regional data privacy laws.

Mesh Networking: Decentralized device-to-device communication without a central router.

5. Optical & Photonic Computing

Using light (photons) instead of electricity (electrons) to transmit and process information, leading to near-zero heat and massive speeds.

Optical Interconnects: Replacing copper wires with light-based data paths within chips.

Photonic AI Accelerators: Using laser light interference to perform matrix multiplications for neural networks.

Holographic Data Storage: Using 3D light patterns to store petabytes of data in small crystals.

6. Decentralized & Trust Paradigms

Disruptive because they shift the "authority" of data from central organizations to distributed protocols.

Blockchain & DLT: Decentralized Ledgers, Smart Contracts, and Zero-Knowledge Proofs (ZKP).

Web3 & Decentralized Identity (DID): User-owned data and self-sovereign identity.

Homomorphic Encryption: Performing computations on encrypted data without ever decrypting it, ensuring total privacy.

Interrelations: How They Connect

Quantum + Decentralized: Quantum computing threatens current encryption, leading to the rise of Post-Quantum Cryptography (PQC).

Neuromorphic + Edge: Neuromorphic chips are the "brain" for the Edge, allowing robots to learn in real-time with very little battery power.

AI + Everything: AI is the "software layer" that drives these paradigms—from designing DNA sequences to optimizing quantum error correction.

Name: FENP
Website: http://fenp.org