The Quantum Eraser

Richard Feynmann noted more than once that complementarity is the central mystery that lies at the heart of quantum theory. Complementarity rules the world of the very small… the quantum world, and surmises that particles and waves are indistinguishable from one other. That they are one and the same. That it is nonsensical to think of something, or even try to visualize that something as an individual “particle” or a “wave.” That the particle/wave/whatever-you-want-to-call-it is in this sort of superposition, where it is neither particle nor wave. It is only the act of trying to measure what it is that disengages the cloaking device and the particle or wave nature is revealed. Look for a particle, and you’ll find a particle. Look for a wave instead, and instead you’ll find a wave.

Complementarity arises from the limits placed on measuring things in the quantum world with classical measuring devices. It turns out that when you try to measure things that are really really really small, some issues come up… some fundamental issues.  For instance, you can’t really know exactly where a sub-atomic particle is located in space. You can only know where it is within a certain probability, and this probability is distributed through space in the form of a wave. Understanding uncertainty in measurement is key to avoiding the disbelief that hits you when thinking about complementarity.

This article is a continuation of the one linked above. I shall pick up where I left off, in that everyone agrees that measurement on the quantum scale presents some big problems. However, not everyone agrees what these problems mean. Some, such as Albert Einstein, say that just because something cannot be measured doesn’t mean it’s not there. Others, including most mainstream physicists, say the opposite — that if something cannot be measured, it for all practical purposes is not there. We shall continue on our journey by using modern technology to peer into the murky world of complementarity. But first, a quick review.

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What Is There To Know About Resistors?

Resistor: A passive chunk of material that resists the flow of electrical current. A terminal is connected to each end you’re done. What could be simpler?

It turns out it’s not so simple at all. Temperature, capacitance, inductance and other factors all play a part in making the resistor a rather complex component after all. Even its uses in circuits are many, but here we’ll just focus on the different types of fixed-value resistors, how they’re made, and what makes them desirable for different applications.

Let’s start with a simple one, and one of the oldest.

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From Project To Kit: After The Sale

However you sell your kits online, you’ll have to find a means of shipping them to the customer. For an online operation this unseen part of the offering is more important than any other when it comes to customer satisfaction, yet so many large players get it so wrong.

This is the final article in a series looking on the process of creating and selling a commercial kit from a personal electronic project (read all the posts in this series). We’ve looked at the market, assembling the kit and its instructions, and how to set up an online sales channel. In this part we’ll look at what happens when you’ve made the sale, how to get it safely to the customer and how to keep the customer happy after the sale by offering support for your products. We’ll also give a nod to marketing your site, ensuring a fresh supply of customers.

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How The Human Brain Stores Data

Evolution is one clever fellow. Next time you’re strolling about outdoors, pick up a pine cone and take a look at the layout of the bract scales. You’ll find an unmistakable geometric structure. In fact, this same structure can be seen in the petals of a rose, the seeds of a sunflower and even the cochlea bone in your inner ear. Look closely enough, and you’ll find this spiraling structure everywhere. It’s based on a series of integers called the Fibonacci sequence. Leonardo Bonacci discovered the sequence while trying to figure out how many rabbits he could make starting with just two. It’s quite simple — add the right most integer to the previous one to get the next one in the sequence. Starting from zero, this would give you 0-1-1-2-3-5-8-13-21 and so on. If one was to look at this sequence in the form of geometric shapes, they can create square tiles whose sides are the length of the value in the sequence. If you connect the diagonal corners of these tiles with an infinite curve, you end up with the spiral that you saw in the pine cone and other natural objects.

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Source via Geocaching

So how did mother nature discover this geometric structure? Surely it does not know math. How then can it come up with intricate and sophisticated structures? It turns out that this Fibonacci spiral is the most efficient way of squeezing the most amount of stuff in the least amount of space. And if one takes natural selection seriously, this makes perfect sense. Eons of trial and error to make the most copies of itself has stumbled upon a mathematical principle that permeates life on earth.

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Source via John Simmons

The homo sapiens brain is the product of this same evolutionary process, and has been evolving for an estimated 7 million years. It would be foolish to think that this same type of efficiency natural selection has stumbled across would not be present in the current homo sapiens brain. I want to impress upon you this idea of efficiency. Natural selection discovered the Fibonacci sequence solely because it is the most efficient way to do a particular task. If the brain has a task of storing information, it is perfectly reasonable that millions of years of evolution has honed it so that it does this in the most efficient way possible as well. In this article, we shall explore this idea of efficiency in data storage, and leave you to ponder its applications in the computer sciences.

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Working For Elon Musk

One of my favorite types of science fiction character is found in the books of Ben Bova; a business mogul who through brilliance, hard work, and the force of personality drives mankind to a whole new level in areas such as commercializing space, colonizing the stars, battling governments, and thwarting competitors.

It is possible to name a few such characters in real life — influencing the electricity industry was George Westinghouse, automobiles was Henry Ford, and more recently Steve Jobs and Elon Musk. With Elon’s drive we may all finally be driving electric cars within 20 years and spreading out into space with his cheap rockets. Due to the latter he may be the closest yet to one of Bova’s characters.

So what’s it like to work for Elon Musk at Tesla or SpaceX? Most of us have read articles about him, and much that he’s written himself, as well as watched some of his many interviews and talks. But to get some idea of what it’s like to work for him I greatly enjoyed the insight from Ashlee Vance’s biography Elon Musk – Tesla, SpaceX, and the Quest for a Fantastic Future. To write it Vance had many interviews with Musk as well as those who work with him or have in the past. Through this we get a fascinating look at a contemporary mogul of engineering.

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Review: Monoprice Maker Ultimate 3D Printer

A few months ago, a very inexpensive 3D printer appeared on Monoprice. My curiosity for this printer was worth more than $200, so I picked one of these machines up. The Monoprice MP Select Mini is an awesome 3D printer. It’s the perfect printer to buy for a 13-year-old who might be going through a ‘3D printing phase’. It’s a great printer to print a better printer on. This printer is a sign the 3D printing industry is not collapsing, despite Makerbot, and foreshadows the coming age of consumer 3D printers.

The MP Select Mini isn’t Monoprice’s only 3D printer; the printer I bought was merely the ‘good’ printer in the good-better-best lineup. Since my review of the MP Select Mini, Monoprice has introduced their top of the line, the Maker Ultimate 3D printer. Monoprice asked if I would like to take a look at this offering, and I’m more than happy to oblige.

After a week of burn-in, I can safely say you’re not wasting your money on this $700 3D printer. It’s not a starter printer — it’s one that will last you a long time. 2016 is the beginning of the age of consumer 3D printers, and the Monoprice Maker Ultimate is more than proof of this.

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How Accurate Is Microstepping Really?

Stepper motors divide a full rotation into hundreds of discrete steps, which makes them ideal to precisely control movements, be it in cars, robots, 3D printers or CNC machines. Most stepper motors you’ll encounter in DIY projects, 3D printers, and small CNC machines are bi-polar, 2-phase hybrid stepper motors, either with 200 or — in the high-res variant — with 400 steps per revolution. This results in a step angle of 1.8 °, respectively 0.9 °.

Can you increase the resolution of this stepper motor?

In a way, steps are the pixels of motion, and oftentimes, the given, physical resolution isn’t enough. Hard-switching a stepper motor’s coils in full-step mode (wave-drive) causes the motor to jump from one step position to the next, resulting in overshoot, torque ripple, and vibrations. Also, we want to increase the resolution of a stepper motor for more accurate positioning. Modern stepper motor drivers feature microstepping, a driving technique that squeezes arbitrary numbers of microsteps into every single full-step of a stepper motor, which noticeably reduces vibrations and (supposedly) increases the stepper motor’s resolution and accuracy.

On the one hand, microsteps are really steps that a stepper motor can physically execute, even under load. On the other hand, they usually don’t add to the stepper motor’s positioning accuracy. Microstepping is bound to cause confusion. This article is dedicated to clearing that up a bit and — since it’s a very driver dependent matter — I’ll also compare the microstepping capabilities of the commonly used A4988, DRV8825 and TB6560AHQ motor drivers.

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