University of Southern Denmark is hiring:
Postdoctoral fellow in quantum algorithms and quantum software
#postdoc #quantumcomputing #quantumalgorithms
Postdoctoral fellow in quantum algorithms and quantum software
#postdoc #quantumcomputing #quantumalgorithms
November 8, 2026 at 3:58 PM
University of Southern Denmark is hiring:
Postdoctoral fellow in quantum algorithms and quantum software
#postdoc #quantumcomputing #quantumalgorithms
Postdoctoral fellow in quantum algorithms and quantum software
#postdoc #quantumcomputing #quantumalgorithms
University of Southern Denmark is hiring:
Associate Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
Associate Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
November 8, 2026 at 3:43 PM
University of Southern Denmark is hiring:
Associate Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
Associate Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
University of Southern Denmark is hiring:
Assistant Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
Assistant Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
November 8, 2026 at 3:21 PM
University of Southern Denmark is hiring:
Assistant Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
Assistant Professor in Quantum Algorithms and Quantum Software
#quantumcomputing #quantumalgorithms
Helmholtz Information & Data Science Academy (HiDA) is hiring:
Postdoc / Scientist for the Development of Quantum Algorithms to Simulate Electron Transfer at Electrode Surfaces
#postdoc #quantumcomputing #quantumalgorithms
Postdoc / Scientist for the Development of Quantum Algorithms to Simulate Electron Transfer at Electrode Surfaces
#postdoc #quantumcomputing #quantumalgorithms
November 7, 2026 at 7:49 AM
Helmholtz Information & Data Science Academy (HiDA) is hiring:
Postdoc / Scientist for the Development of Quantum Algorithms to Simulate Electron Transfer at Electrode Surfaces
#postdoc #quantumcomputing #quantumalgorithms
Postdoc / Scientist for the Development of Quantum Algorithms to Simulate Electron Transfer at Electrode Surfaces
#postdoc #quantumcomputing #quantumalgorithms
NQCC secures enterprise licence agreement with Phasecraft, enabling UK organizations to access advanced quantum algorithms and accelerate real-world quantum computing applications.
#QuantumSoftware #QuantumAlgorithms #News
#QuantumSoftware #QuantumAlgorithms #News
UK NQCC and Phasecraft Expand Quantum Software Access
iq.fp2.dev
November 6, 2026 at 11:02 AM
NQCC secures enterprise licence agreement with Phasecraft, enabling UK organizations to access advanced quantum algorithms and accelerate real-world quantum computing applications.
#QuantumSoftware #QuantumAlgorithms #News
#QuantumSoftware #QuantumAlgorithms #News
TU Delft researchers developed and tested quantum algorithms directly on their local quantum hardware platform, demonstrating co-designed quantum computing integration.
#QuantumAlgorithms #QuantumHardware #News
#QuantumAlgorithms #QuantumHardware #News
Local Quantum Algorithms Integrated with TU Delft Quantum Hardware
qutech.nl
November 5, 2026 at 3:53 PM
TU Delft researchers developed and tested quantum algorithms directly on their local quantum hardware platform, demonstrating co-designed quantum computing integration.
#QuantumAlgorithms #QuantumHardware #News
#QuantumAlgorithms #QuantumHardware #News
Fujitsu's cardinal sine interpolation method improves quantum simulation efficiency with O(T^(1+o(1))(log(1/ε))²/ε) cost scaling, requiring no additional qubits—a practical advance for near-term quantum computers.
#QuantumSimulation #QuantumAlgorithms #News
#QuantumSimulation #QuantumAlgorithms #News
Fujitsu's Cardinal Sine Interpolation Advances Quantum Simulation Cost Scaling
iq.fp2.dev
November 6, 2026 at 4:03 PM
Fujitsu's cardinal sine interpolation method improves quantum simulation efficiency with O(T^(1+o(1))(log(1/ε))²/ε) cost scaling, requiring no additional qubits—a practical advance for near-term quantum computers.
#QuantumSimulation #QuantumAlgorithms #News
#QuantumSimulation #QuantumAlgorithms #News
Landmark open problem in quantum computing theory solved: Physical Superintelligence proved the Aaronson-Ambainis Conjecture using AI, establishing a lower bound on polynomial influence with implications for quantum query complexity.
#QuantumAlgorithms #QuantumComplexity #News
#QuantumAlgorithms #QuantumComplexity #News
Aaronson-Ambainis Conjecture Proved Using AI
iq.fp2.dev
November 8, 2026 at 10:53 PM
Landmark open problem in quantum computing theory solved: Physical Superintelligence proved the Aaronson-Ambainis Conjecture using AI, establishing a lower bound on polynomial influence with implications for quantum query complexity.
#QuantumAlgorithms #QuantumComplexity #News
#QuantumAlgorithms #QuantumComplexity #News
A cryogenic neutral-atom platform with full optical access and 2-hour trap lifetime
#QuantumHardware #QuantumAlgorithms #QuantumSimulation
#QuantumHardware #QuantumAlgorithms #QuantumSimulation
A cryogenic neutral-atom platform with full optical access and 2-hour trap lifetime
Neutral-atom quantum processors are rapidly scaling toward system sizes of more than ten thousand qubits, allowing for the realization of a new class of quantum computing algorithms and quantum simulation experiments. However, current neutral-atom platforms generally have to find a compromise betwee
arxiv.org
November 8, 2026 at 10:43 AM
A cryogenic neutral-atom platform with full optical access and 2-hour trap lifetime
#QuantumHardware #QuantumAlgorithms #QuantumSimulation
#QuantumHardware #QuantumAlgorithms #QuantumSimulation
Researchers at Quantinuum demonstrate that prioritizing error resilience over computational precision yields superior ground state preparation for quantum simulations beyond 20 qubits, challenging conventional algorithm optimization strategies.
#QuantumAlgorithms #NoiseResilience #News
#QuantumAlgorithms #NoiseResilience #News
Adiabatic Evolution Outperforms FFT for Quantum Ground State Preparation Beyond 20 Qubits
quantumzeitgeist.com
November 8, 2026 at 9:01 PM
Researchers at Quantinuum demonstrate that prioritizing error resilience over computational precision yields superior ground state preparation for quantum simulations beyond 20 qubits, challenging conventional algorithm optimization strategies.
#QuantumAlgorithms #NoiseResilience #News
#QuantumAlgorithms #NoiseResilience #News
Researchers developed a fully coherent quantum algorithm achieving polynomial speedup in system size and exponential speedup in spatial dimensions for PDE-constrained optimization, avoiding costly quantum state tomography.
#QuantumOptimization #QuantumAlgorithms #News
#QuantumOptimization #QuantumAlgorithms #News
Quantum Algorithm for PDE-Constrained Optimization with Block-Encoding
iq.fp2.dev
November 7, 2026 at 10:43 PM
Researchers developed a fully coherent quantum algorithm achieving polynomial speedup in system size and exponential speedup in spatial dimensions for PDE-constrained optimization, avoiding costly quantum state tomography.
#QuantumOptimization #QuantumAlgorithms #News
#QuantumOptimization #QuantumAlgorithms #News
New method achieves quantum state approximation using smaller Lie groups within expanded qubit systems, reducing computational complexity from exponential to polynomial scaling—a potential breakthrough for scalable quantum computing.
#QuantumAlgorithms #StatePreparation #News
#QuantumAlgorithms #StatePreparation #News
Polynomial-Scaling Quantum State Preparation via Open Quantum Systems and Smaller Lie Groups
iq.fp2.dev
November 9, 2026 at 1:24 AM
New method achieves quantum state approximation using smaller Lie groups within expanded qubit systems, reducing computational complexity from exponential to polynomial scaling—a potential breakthrough for scalable quantum computing.
#QuantumAlgorithms #StatePreparation #News
#QuantumAlgorithms #StatePreparation #News
Mathematical proof establishes fundamental limits on quantum computing advantages over classical algorithms on unstructured problems, resolving the 2008 Aaronson-Ambainis conjecture through AI-assisted reasoning.
#QuantumAlgorithms #QuantumTheory #News
#QuantumAlgorithms #QuantumTheory #News
AI-Assisted Proof Resolves Quantum Speedup Conjecture
iq.fp2.dev
November 6, 2026 at 10:38 PM
Mathematical proof establishes fundamental limits on quantum computing advantages over classical algorithms on unstructured problems, resolving the 2008 Aaronson-Ambainis conjecture through AI-assisted reasoning.
#QuantumAlgorithms #QuantumTheory #News
#QuantumAlgorithms #QuantumTheory #News
Room-temperature diamond processor achieves Grover's search, suggesting a paradigm shift away from vacuum-dependent quantum hardware—potentially marking quantum computing's defining inflection point.
#QuantumHardware #QuantumAlgorithms #News
#QuantumHardware #QuantumAlgorithms #News
Quantum Computing's Transistor Moment
iq.fp2.dev
November 3, 2026 at 6:52 PM
Room-temperature diamond processor achieves Grover's search, suggesting a paradigm shift away from vacuum-dependent quantum hardware—potentially marking quantum computing's defining inflection point.
#QuantumHardware #QuantumAlgorithms #News
#QuantumHardware #QuantumAlgorithms #News
Expressibility and trainability of a two-dimensional pairwise quantum-circuit ansatz
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods.
#QuantumHardware #QuantumAlgorithms #QuantumML
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods.
#QuantumHardware #QuantumAlgorithms #QuantumML
Expressibility and trainability of a two-dimensional pairwise quantum-circuit ansatz
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods. Existing ansatz designs often adopt hardware-agnostic or simplified 1D chain/ring entanglement patterns. However, as quantum hardware continu
arxiv.org
November 8, 2026 at 10:43 AM
Expressibility and trainability of a two-dimensional pairwise quantum-circuit ansatz
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods.
#QuantumHardware #QuantumAlgorithms #QuantumML
Parameterized quantum circuits~(PQCs) constitute a central building block of variational quantum algorithms~(VQAs) and quantum machine learning~(QML) methods.
#QuantumHardware #QuantumAlgorithms #QuantumML
PSI's AI system running an unreleased Anthropic model proved the Aaronson-Ambainis conjecture—a landmark theoretical result showing quantum computers cannot achieve exponential speedups on random, unstructured data, verified through Lean formal proof.
#QuantumComplexity #QuantumAlgorithms #News
#QuantumComplexity #QuantumAlgorithms #News
PSI's AI System Proves 18-Year-Old Aaronson-Ambainis Conjecture in Quantum Complexity
quantumzeitgeist.com
November 8, 2026 at 10:08 AM
PSI's AI system running an unreleased Anthropic model proved the Aaronson-Ambainis conjecture—a landmark theoretical result showing quantum computers cannot achieve exponential speedups on random, unstructured data, verified through Lean formal proof.
#QuantumComplexity #QuantumAlgorithms #News
#QuantumComplexity #QuantumAlgorithms #News
Researchers simplified quantum lower bound proofs for element distinctness and k-sum problems using only fundamental quantum mechanics and linear algebra principles, making complex theoretical results more accessible.
#QuantumAlgorithms #LowerBounds #News
#QuantumAlgorithms #LowerBounds #News
Elementary Proofs Simplify Quantum Lower Bounds on Element Distinctness and K-Sum
iq.fp2.dev
November 6, 2026 at 7:58 PM
Researchers simplified quantum lower bound proofs for element distinctness and k-sum problems using only fundamental quantum mechanics and linear algebra principles, making complex theoretical results more accessible.
#QuantumAlgorithms #LowerBounds #News
#QuantumAlgorithms #LowerBounds #News
A patent filing describes algorithmic foundations for post-quantum computing using boundary-dominated dynamics in the GGD universality class, offering scalable computation beyond quantum coherence-based approaches.
#PostQuantumComputing #QuantumAlgorithms #Patent
#PostQuantumComputing #QuantumAlgorithms #Patent
Algorithmic Foundations of Post-Quantum Computing via Boundary-Dominated GGD
patentcenter.uspto.gov
November 6, 2026 at 2:30 AM
A patent filing describes algorithmic foundations for post-quantum computing using boundary-dominated dynamics in the GGD universality class, offering scalable computation beyond quantum coherence-based approaches.
#PostQuantumComputing #QuantumAlgorithms #Patent
#PostQuantumComputing #QuantumAlgorithms #Patent
Researchers developed a graph-encoding approach that constructs quantum circuits efficiently without repeated measurements, achieving chemical accuracy across 8-20 qubit systems and reducing computational overhead.
#QuantumChemistry #QuantumAlgorithms #News
#QuantumChemistry #QuantumAlgorithms #News
Graph-Based Encoding Streamlines Quantum Circuit Construction for Chemistry Simulations
iq.fp2.dev
November 3, 2026 at 6:56 PM
Researchers developed a graph-encoding approach that constructs quantum circuits efficiently without repeated measurements, achieving chemical accuracy across 8-20 qubit systems and reducing computational overhead.
#QuantumChemistry #QuantumAlgorithms #News
#QuantumChemistry #QuantumAlgorithms #News
From Circuits to Hardware: Benchmarking Standard and Qubit-Efficient Quantum Optimization on Real Hardware
#QuantumHardware #QuantumAlgorithms
#QuantumHardware #QuantumAlgorithms
From Circuits to Hardware: Benchmarking Standard and Qubit-Efficient Quantum Optimization on Real Hardware
Despite rapid progress in quantum optimization, broad real-hardware benchmarks comparing multiple algorithmic families across diverse combinatorial problems under a common protocol remain limited. We benchmark gate-based quantum optimization on four NP-hard problems: multi-dimensional knapsack (MDKP
arxiv.org
November 5, 2026 at 12:36 PM
From Circuits to Hardware: Benchmarking Standard and Qubit-Efficient Quantum Optimization on Real Hardware
#QuantumHardware #QuantumAlgorithms
#QuantumHardware #QuantumAlgorithms
Demonstrates quantum neural networks combined with iterative quantum amplitude estimation to calculate particle decay rates in perturbative physics. Proof-of-concept validates against analytical predictions using quantum simulators and hardware.
#QuantumAlgorithms #HighEnergyPhysics #Research
#QuantumAlgorithms #HighEnergyPhysics #Research
Quantum Fourier Integration of Decay Rates at Next-to-Leading Order
arxiv.org
November 6, 2026 at 8:38 AM
Demonstrates quantum neural networks combined with iterative quantum amplitude estimation to calculate particle decay rates in perturbative physics. Proof-of-concept validates against analytical predictions using quantum simulators and hardware.
#QuantumAlgorithms #HighEnergyPhysics #Research
#QuantumAlgorithms #HighEnergyPhysics #Research
Quantum Arithmetic Circuits in Public-Key Cryptography
This article spotlights the often‑overlooked plumbing of quantum algorithms—arithmetic circuits—that underpins any realistic attack on modern public‑key schemes such as RSA and ECC.
#QuantumHardware #QuantumAlgorithms #QuantumCryptography
This article spotlights the often‑overlooked plumbing of quantum algorithms—arithmetic circuits—that underpins any realistic attack on modern public‑key schemes such as RSA and ECC.
#QuantumHardware #QuantumAlgorithms #QuantumCryptography
Quantum Arithmetic Circuits in Public-Key Cryptography
Quantum computing has advanced rapidly in recent decades, driven by developments across the technology stack, including quantum error-correcting codes and efficient quantum algorithms. Among these, quantum arithmetic circuits serve as fundamental building blocks for various promising algorithms. Des
arxiv.org
November 6, 2026 at 12:58 PM
Quantum Arithmetic Circuits in Public-Key Cryptography
This article spotlights the often‑overlooked plumbing of quantum algorithms—arithmetic circuits—that underpins any realistic attack on modern public‑key schemes such as RSA and ECC.
#QuantumHardware #QuantumAlgorithms #QuantumCryptography
This article spotlights the often‑overlooked plumbing of quantum algorithms—arithmetic circuits—that underpins any realistic attack on modern public‑key schemes such as RSA and ECC.
#QuantumHardware #QuantumAlgorithms #QuantumCryptography
Grover's algorithm enables efficient spin-squeezed state preparation with N⁻¹ scaling in atomic ensembles using only global rotations and Dicke-selective phases, with cavity-QED realizations achieving high fidelity despite realistic photon losses.
#SpinSqueezing #QuantumAlgorithms #Research
#SpinSqueezing #QuantumAlgorithms #Research
Efficient Preparation of Spin-Squeezed States with Grover's Algorithm
arxiv.org
November 6, 2026 at 6:26 AM
Grover's algorithm enables efficient spin-squeezed state preparation with N⁻¹ scaling in atomic ensembles using only global rotations and Dicke-selective phases, with cavity-QED realizations achieving high fidelity despite realistic photon losses.
#SpinSqueezing #QuantumAlgorithms #Research
#SpinSqueezing #QuantumAlgorithms #Research
Researchers demonstrated subspace-search VQE using photonic OAM qudits, enabling excited state energy estimation for molecules and quantum systems without ancilla measurements—advancing scalable excited state quantum simulation.
#PhotonicQuantum #QuantumSimulation #QuantumAlgorithms
#PhotonicQuantum #QuantumSimulation #QuantumAlgorithms
Photonic Orbital Angular Momentum Qudits for Excited State Eigensolving
iq.fp2.dev
November 3, 2026 at 2:16 PM
Researchers demonstrated subspace-search VQE using photonic OAM qudits, enabling excited state energy estimation for molecules and quantum systems without ancilla measurements—advancing scalable excited state quantum simulation.
#PhotonicQuantum #QuantumSimulation #QuantumAlgorithms
#PhotonicQuantum #QuantumSimulation #QuantumAlgorithms
Develops efficient quantum circuits for ultraspherical polynomial transforms, enabling well-conditioned quantum solvers for linear differential equations with polylogarithmic complexity in system size and error tolerance.
#QuantumAlgorithms #QuantumDifferentialEquations #Research
#QuantumAlgorithms #QuantumDifferentialEquations #Research
Efficient Quantum Ultraspherical Transform for Well-Conditioned Spectral Methods
arxiv.org
November 5, 2026 at 1:15 PM
Develops efficient quantum circuits for ultraspherical polynomial transforms, enabling well-conditioned quantum solvers for linear differential equations with polylogarithmic complexity in system size and error tolerance.
#QuantumAlgorithms #QuantumDifferentialEquations #Research
#QuantumAlgorithms #QuantumDifferentialEquations #Research