The field of post-quantum cryptography is rapidly advancing, with a focus on improving the efficiency and practicality of quantum-resistant algorithms. Recent research has centered on optimizing key encapsulation mechanisms, such as lattice-based schemes, and developing more efficient scalar multiplication algorithms for elliptic curve cryptography. Notably, innovative sampling algorithms and precomputation-based methods have led to significant reductions in energy consumption, latency, and memory usage, making these schemes more suitable for resource-constrained devices. Additionally, comprehensive performance analyses have provided valuable insights into the suitability of various post-quantum cryptography schemes for different application scenarios. Noteworthy papers include:

• Energy-Efficient NTT Sampler for Kyber Benchmarked on FPGA, which proposes a novel sampling algorithm achieving a 33% reduction in energy consumption and 33.32% lower latency.
• M-ary Precomputation-Based Accelerated Scalar Multiplication Algorithms for Enhanced Elliptic Curve Cryptography, which achieves up to a 59% reduction in encryption time and 30% memory savings.
• Performance Analysis and Deployment Considerations of Post-Quantum Cryptography for Consumer Electronics, which provides deployment recommendations tailored to different consumer electronics scenarios.
• Applied Post Quantum Cryptography: A Practical Approach for Generating Certificates in Industrial Environments, which develops a proof-of-concept implementation for generating hybrid and composite certificates using post-quantum cryptography algorithms. These advancements demonstrate significant progress in the field, enabling more efficient and practical post-quantum cryptography solutions for various applications.