Science – Page 36 – Investment Policy

Securing the Quantum Web: Routing Strategies for a New Era of Encryption

20.11.2025 by Ray Dalio

This review examines the emerging field of routing protocols designed to maximize the performance and security of Quantum Key Distribution networks.

Cracking the Renaissance Code: How Language Predictability Aids Cryptanalysis

19.11.2025 by Ray Dalio

$The search space is fundamentally defined by the interplay between exploration and exploitation, necessitating a strategic balance to efficiently locate optimal solutions within a potentially infinite landscape of possibilities, as dictated by the principles of $Reinforcement\ Learning$.$

New research reveals how the inherent redundancies within Renaissance Italian dramatically limit the possible solutions for simple substitution ciphers, impacting both classical and quantum search algorithms.

Quantum Leap for PDE Optimization

19.11.2025 by Ray Dalio

$The evaluation of the objective function reveals a relationship between discretized design variables-specifically, the decimal values associated with basis states $ \ket{\xi_1} $ and $ \ket{\xi_2} $-as demonstrated through block-encoding techniques.$

A new algorithm harnesses the power of quantum computing to solve optimization problems governed by partial differential equations, potentially bypassing limitations of classical approaches.

Quantum Speedup: Parallelizing Programs Across Distributed Systems

19.11.2025 by Ray Dalio

$(a)Before parallelizing execution. The system initially processes operations serially, adhering to a strict sequential order where each computation must complete before the next begins, resulting in a total execution time of $T_s = \sum_{i=1}^{n} t_i$, where $n$ represents the number of operations and $t_i$ is the time required for the $i$-th operation.$

A new approach to hardware and compiler design unlocks significant performance gains for quantum programs running on multiple quantum processors.

Faster Quantum Training with Gradient Shadows

19.11.2025 by Ray Dalio

$Training a quantum model on the Iris dataset using the RSGF and SPSA methods demonstrates that variations in the parameter $\mu$ influence the incurred training loss, suggesting a sensitivity to optimization settings within these algorithms.$

A new optimization technique dramatically reduces the computational cost of training variational quantum circuits by cleverly estimating gradient information.

Quieter Qubits: Taming Errors with Pulsed Control

18.11.2025 by Ray Dalio

A new technique enhances the performance of dynamical decoupling by actively suppressing control errors and extending qubit coherence times.

Beyond Qubits: Simulating the Promise of Qudits

18.11.2025 by Ray Dalio

The initial steps of the Deutsch-Jozsa algorithm can be effectively represented and tracked using a tableau-based approach.

A new open-source simulator, Sdim, tackles the complex challenge of modeling large-scale error correction for qudit-based quantum computers.

Learning to Shield Quantum Bits from Noise

18.11.2025 by Ray Dalio

$The fidelity distribution of various quantum error-correcting codes-including T4C, Binomial, and reinforcement learning-based approaches-was analytically mapped as a function of Bloch angles, demonstrating that the GRL code maintains robustness against single- and double-photon loss, evidenced by its performance relative to other codes when considering parameters of $\gamma_{a}t = 0.6$ and $\lambda = 10^{4}$, and further validated by the average reward observed during training episodes with $\gamma_{a}t = 0.06$.$

Researchers have demonstrated a novel approach to quantum error correction using artificial intelligence, paving the way for more stable and scalable quantum computers.

Quantum Simulation Steps Beyond Molecular Reality

18.11.2025 by Ray Dalio

The Variational Quantum Eigensolver exploits a hybrid classical-quantum approach, pre-computing molecular Hamiltonians classically while leveraging a quantum device to evaluate expectation values and iteratively refine energy estimations via feedback to a classical optimizer.

Researchers are now able to simulate complex quantum systems that break the traditional rules of molecular physics, paving the way for a deeper understanding of exotic chemical species.

Faster Quantum Factoring with Simplified Algorithms

18.11.2025 by Ray Dalio

Factorization fidelity improves with increasing depth in the Quantum Approximate Optimization Algorithm (QAOA), indicating that more layers allow for increasingly accurate solutions to the problem.

New research demonstrates a resource-efficient approach to integer factorization on quantum computers by streamlining the adiabatic quantum computation process.